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Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.  Find out more at www.depop.com  Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners.

Job DescriptionDepop is looking for a versatile Senior Machine Learning Scientist to join our Search &amp; Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop’s search engine and ranking across the app.Responsibilities:You will:<ul><li>Research, design and deliver ML solutions to take on problems within the search &amp; discovery space:<ul><li>Learning-to-rank models</li><li>Vector search &amp; embedding models</li><li>etc.</li></ul></li><li>Understand requirements from various partners across the business, designing machine learning solutions to address business problems, such as:<ul><li>How can we surface relevant results for this search?</li><li>How can we show users personalised results in real time?</li><li>What is the right price for this user?</li></ul></li><li>Set up and conduct large-scale experiments to test hypotheses and drive product development</li><li>Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.</li><li>Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)</li></ul>QualificationsSkills and experience<ul><li>Significant experience (3&#43; years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problem</li><li>Experience with experiment design and conducting A/B tests</li><li>Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering &amp; MLOps</li><li>Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch</li><li>Collaborative and humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholders</li><li>Passion for learning new skills and staying up-to-date with ML algorithms</li></ul>  Bonus points<ul><li>Experience with Databricks and PySpark</li><li>Experience with deep learning &amp; large language models</li><li>Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch)</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Senior Machine Learning Scientist - Search

RoleWe’re looking for a Staff Backend Engineer – Data Platform to be a key technical leader within the teams responsible for Depop’s data platform. You’ll drive the technical vision and implementation for our foundational data platform — from experimentation, event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities.You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems are scalable, secure, observable, and enable innovation across the company.  Responsibilities<ul><li>Partner with stakeholders across Product, Data, and Engineering to translate strategic goals into well-architected, scalable platform capabilities.</li><li>Drive the technical design and implementation of core data platform components, providing hands-on coding and architectural leadership.</li><li>Define and evolve the technical roadmap for Depop’s modern data platform, ensuring reliable and scalable analytics.</li><li>Champion engineering excellence, setting high technical standards and advocating for best practices in system design, maintainability, performance, and privacy.</li><li>Lead efforts in data observability, governance, and privacy-by-design principles, ensuring their robust implementation across the organization.</li><li>Mentor and coach engineers, elevating the technical capabilities of the team and fostering a culture of technical excellence.</li><li>Identify and address complex technical challenges and bottlenecks, proposing and implementing effective solutions.  </li></ul>Qualifications<ul><li>Proven experience as a Staff Engineer or equivalent senior technical leadership role in data infrastructure or platform at scale, ideally in a consumer or marketplace environment.</li><li>Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT.</li><li>Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures.</li><li>Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices.</li><li>Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure).</li><li>Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks.</li><li>A strong technical background with a track record of hands-on architecture and development of complex data systems.</li><li>Ability to think strategically and pragmatically: you can define long-term technical strategies and execute rapidly.</li><li>Excellent communication and collaboration skills; you’re comfortable influencing technical direction and aligning diverse stakeholders across the organization.</li></ul>  Bonus points:<ul><li>Experience with machine learning infrastructure or ML Ops practices.</li><li>Familiarity with event-driven architectures in a mobile-first product environment.</li><li>Prior work in fashion, marketplaces, or sustainability-driven tech.</li></ul>

Staff Backend Engineer - Data Platform

<h2>Role</h2>The Analytics Engineering team works across all data domains to support our internal partners in building high-quality, ready-to-use datasets. As a Senior Data Engineer, you&#39;ll play a pivotal role in crafting our data landscape, empowering teams across the organization with reliable, high-quality data. You&#39;ll contribute to a vibrant data culture, encouraging self-service capabilities and driving impactful insights.<h2>Responsibilities</h2><ul><li>Build and champion central data models that are used in Insights, ML and Search pipelines</li><li>Design and deliver robust data pipelines that deliver high-quality data for partner teams, such as insights, finance, ML, and operations</li><li>Build data models using our data stack, including Databricks, AWS, dbt, Airflow and Looker</li><li>Lead technical initiatives and be responsible for their success.</li><li>Improve our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging</li><li>Foster growth and capabilities in our junior engineers through mentoring, and support our data consumers in building their own models</li><li>Cultivate a collaborative data culture that empowers self-serve data and model creation</li></ul><h2>Requirements</h2><ul><li>Consistent track record of successful end-to-end delivery of projects; from partnering with business teams, scoping requirements, to implementation and maintenance</li><li>Experience aligning analytics engineering initiatives to a broader vision and to business objectives</li><li>Good stakeholder management and communications, including documentation, planning and delivery management</li><li>Strong programming skills in SQL and Python, with experience in services like Airflow, dbt and Looker</li><li>Proficient with data engineering methodologies, data warehousing and data design, including performance and cost optimisation, observability and monitoring</li><li>Experience working with and integrating different parts of the data stack.</li><li>You&#39;ve used BI tools, such as Looker, in a platform engineering capacity, helping to enable data scientists to build data models and self-serve analytics to business consumers</li><li>Experience developing CI/CD pipelines using Github Actions or Jenkins</li><li>Experience using Terraform</li></ul>

Senior Data Engineer

The Recommendations team builds models that power discovery at Depop, helping millions of users find items that they will love. As a Staff Machine Learning Scientist, you’ll set the technical vision for our next-generation recommendation models, lead high-impact initiatives, and mentor others to drive innovation at scale.ResponsibilitiesYou will:<ul><li>Lead the design and deployment of advanced recommendation systems, encompassing encoder-based architectures, vector representations and large-scale retrieval.</li><li>Mentor, coach, and set technical direction within the Recommendations team, helping others grow and innovate.</li><li>Collaborate closely with cross-functional partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes.</li><li>Lead the end-to-end lifecycle of ML projects: from ideation, data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration.</li><li>Drive innovation in recommendation systems by researching and integrating emerging ML techniques, frameworks, and tooling, while contributing technical expertise to long-term product and data strategy.</li><li>Act as a thought leader in the recommendations space, sharing learnings internally, engaging with the wider ML community, and showcasing our work externally.</li></ul>Qualifications<ul><li>Proven track record in designing, deploying, and optimizing large-scale recommendation systems, including candidate retrieval and ranking models, with measurable impact in production environments.</li><li>Deep understanding of machine learning fundamentals and applied experience with architectures including collaborative filtering, deep learning, and hybrid recommendation approaches.</li><li>Proven ability to productionize ML models and pipelines: from prototyping to de</li><li>ployment, with strong experience in monitoring, iteration, and troubleshooting.</li><li>Advanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar.</li><li>Solid foundation in stats, experimental design, and working with offline/online evaluations in real-world settings.</li><li>Experience leading projects and mentoring engineers or scientists, with a track record of fostering team growth and technical excellence.</li><li>Excellent communication skills: able to bridge technical and non-technical stakeholders and influence decision making.</li><li>Committed to responsible AI practices, including attention to ethics, fairness, and inclusivity.</li></ul>

Staff Machine Learning Scientist (Recommendations)

Data is at the heart of what we do.Depop is looking for a Senior Data Platform Engineer to help architect, build, and scale our data platform, empowering teams with self-serve capabilities. You’ll combine hands-on technical expertise with strategic thinking to shape the foundation that supports our products and customers, enabling teams own, process, query, and manage their data with efficiency and easeYou will work closely with people from a wide variety of domains, as well as our Insights, Analytics Engineers, Data Scientists, MLOps, MarTech and other Data Engineering teams. You will help manage our growing data needs and support increasingly complex business problems by building and promoting self-service tools and data best practices that will be used across the organisation, including taking ownership of our data transformation and orchestration tooling; batch and streaming infrastructure and exploration tools (Databricks, Airflow, dbt) and look after our Datalake (ingestion, storage, governance, privacy).You’ll work with a modern, cutting-edge data stack and play a key role in shaping data-as-a-product practices. As we scale to meet Depop’s bold growth ambitions, you’ll help introduce the next generation of data capabilities.Want to find out more about Depop &amp; our engineering team?We write about technology, people and smart engineering right here - <a href="https://workable.com/nr?l&#61;https%3A%2F%2Fengineering.depop.com%2F" target="_blank">https://engineering.depop.com/</a>  What You’ll Do<ul><li>Pave a path for data as product: Champion data as a first-class citizen by introducing robust data observability and governance tooling into the platform</li><li>Software Engineering: Develop microservices, libraries, data pipelines </li><li>Technical Design: implement and evolve platform services that enable teams to work with data efficiently and securely, using modern tooling such as Kafka, Terraform, Docker, and cloud-native patterns</li><li>Lead Technological Initiatives: Lead initiatives working with end users: data scientists, ML engineers, analytics engineers, product engineers and beyond to enable, support and accelerate their data needs, embracing a platform as product mindset.</li><li>Uphold operational excellence: building scalable services, leading incident response and root cause analysis, and continuously improving the health and performance of our data platform. Champion scalable best practices through automation, clear documentation, and knowledge sharing via tutorials and training sessions. </li><li>Stakeholder Collaboration: Work closely with both technical and non-technical stakeholders to define, design, and implement solutions within our Data Platform. Trusted relationship will be key for success</li><li>Invest in others’ growth: Mentoring and sharing knowledge, helping elevate technical standards and fostering a culture of continuous improvement.</li></ul><ul><li>Build on engineering culture You take an active role in improving the engineering culture at Depop and encourage others around you to follow these values</li></ul>What You’ll Bring<ul><li>Streaming Knowledge: Experience with Kafka/Flink/Confluent or other streaming ecosystems, with a solid understanding of their components</li><li>Advanced knowledge in a high-level programming language (e.g. Python, Scala) with solid foundation in software engineering best practices - testing, clean coding standards, code reviews, pair programming, automation-first mindset</li><li>Experience delivering data compliance &amp; privacy solutions, ensuring that we uphold data subject rights for our customers</li><li>Experience introducing a data governance &amp; observability stack enabling rich data lineage, data contracts, SLA/SLO, tagging and data quality monitoring capabilities both on our own platform but also for data owners</li><li>Proven experience designing, building, and scaling data platforms and backend infrastructure in production environments - have worked to enable advanced data users:  ML Engineers, analysts, analytics engineers and have a strong grasp of their needs and how they operate</li><li>Big data technologies, with expertise in tools &amp; platforms such as Airflow, dbt, Kafka, Databricks and data observability &amp; catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub)</li><li>Cloud Platform proficiency: familiarity with AWS, GCP, or Microsoft Azure, with hands-on experience building scalable, reliable data solutions on cloud platforms</li><li>A passion for learning new things and keeping on top of the latest developments and technologies in our field. We take pride in our learning and make sure to have dedicated time set aside for our growth and development (we offer personal development time and other platforms to share knowledge with your peers)</li></ul>Nice To Have<ul><li>Knowledge of systems design within a modern cloud-based environment </li><li>Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi</li></ul><ul><li>Experience working with lakehouse / medallion architectures in Databricks</li><li>Experience with experimentation support tooling (such as Optimizely)</li></ul>

Senior Data Enablement Engineer

Depop is looking for a talented ML Manager to lead our Search ML team in the UK. In this role, you will lead a team of ML Scientists, building state-of-the-art models to power Depop’s search engine.ResponsibilitiesYou will:<ul><li>Lead and mentor a team of ML Scientists, setting the vision and fostering an inclusive, experiment-driven culture.</li><li>Partner with the team’s leads (Product Manager, Backend EM, Data Scientist) to translate business questions into an actionable search-ML roadmap that moves GMV, conversion and engagement.</li><li>Collaborate with the MLOps team to embed best practices and efficient ML workflows - covering CI/CD, feature management, monitoring, etc..</li><li>Collaborate with other ML teams, sharing models, tooling and insights, particularly in areas like Recommendations and Ranking</li><li>Stay on the pulse of new research in NLP, CV and multimodal retrieval, champion responsible-AI best practices, and present findings to technical and non-technical audiences.</li></ul>Qualifications<ul><li>Significant experience working in Machine Learning, delivering models to solve industry-scale problems, and experience leading a team of ML Scientists and/or ML Engineers</li><li>Deep expertise in search and recommendation techniques: semantic embeddings, learning-to-rank, personalisation algorithms, etc.</li><li>Proven track record of delivering ML modes end-to-end: data strategy, training, deployment and monitoring , using Python, Spark and major deep-learning frameworks (e.g. PyTorch or TensorFlow)</li><li>Experience working in cloud and MLOps environments</li><li>Strong command of experimental design, offline metrics and online A/B testing to drive product strategy</li><li>Excellent collaboration and communication skills, able to translate complex ML concepts seamlessly for PMs, engineers and executives</li></ul>Nice to have<ul><li>Experience with AWS &amp; Databricks</li><li>Experience with OpenSearch</li></ul>

Machine Learning Manager

RoleAt Depop, machine learning is integral to our value proposition. As a Machine Learning Scientist,  you will work on building state-of-the-art ranking models to power Depop&#39;s app, serving millions of personalised results to users daily.ResponsibilitiesYou will:<ul><li>Research, design and deliver machine learning solutions to tackle problems</li><li>Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems</li><li>Set up and conduct large-scale experiments to test hypotheses and drive product development</li><li>Keep up to date with state-of-the-art research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.</li><li>Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)</li><li>Report and present technical findings to technical and non-technical audiences</li></ul>Qualifications<ul><li>Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problems</li><li>Solid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlow</li><li>Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering &amp; MLOps</li><li>Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders</li><li>Passion for learning new skills and staying up-to-date with ML algorithms  </li></ul>Bonus points<ul><li>Experience working on learning-to-rank, search or recommendation models</li><li>Experience with deep learning &amp; large language models</li><li>Experience with experiment design and conducting A/B tests</li><li>Experience with Databricks and PySpark</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Machine Learning Scientist

Job DescriptionDepop is looking for an experienced Backend Software Engineer to join us permanently. Within this role, you’ll be working in the cross-functional team in partnership with mobile, web and machine learning/data science teams to drive the team to success.Responsibilities:As a Backend Engineer within this team, you can expect to:<ul><li>Work closely with Product Managers, Designers, Data Scientists, Front-End and other Backend Engineers to understand problems and to design solutions.</li><li>Produce high-quality code that is well-structured and simple to understand that will be used by 1M&#43; active daily users</li><li>Embrace agile methodologies</li><li>Engage in a culture of continuous improvement by attending events such as blameless post-mortems, architecture reviews etc. </li><li>Collaborate on a daily basis with fellow engineers in the cross functional environment to solve problems and write code</li><li>You’ll own , code, workflows and data, through their entire lifecycle</li><li>Documenting any feature development</li></ul>Desired experience:<ul><li>Writing high quality code in Scala, Typescript, Java, Kotlin or another JVM language</li><li>Experience building scalable applications serving 10,000s of requests per second</li><li>Relational databases, ideally Postgres</li><li>NoSql datastores (e.g. DynamoDB)</li><li>Stream processing: (e.g. Kafka)</li><li>DevOps culture (CI/CD pipeline)</li><li>Ability to proactively find and solve complex problems independently, but also know when to seek guidance or help from your peers.</li><li>Product-oriented mindset with a focus on solving real business problems rather than over-engineering solutions.</li><li>Experience with iterative development using A/B testing</li></ul>Must haves:<ul><li>Solid software engineering experience. Strong evidence that you can learn our TypeScript and Scala stack effectively</li><li>Willing to work across multiple paradigms and languages, such as backend or data work, using TypeScript, Scala and Python</li><li>Proficient in testing solutions at different levels —unit, integration, etc—</li><li>Experience with relational or non-relational databases, preferably PostgreSQL and DynamoDB</li></ul>Bonus points:<ul><li>Experience with eCommerce</li><li>Experience with Docker and Kubernetes</li><li>Experience with event-driven architectures, preferably using RabbitMQ or Kafka</li><li>Experience in using production AWS infrastructure, ideally with Terraform</li><li>Experience with Python</li><li>Experience with data engineering</li></ul>

Backend Engineer

RoleWe’re building a Data Quality, Observability &amp; Governance Team to improve the reliability, trust, and compliance of Depop’s data ecosystem.As a Staff Data Engineer in this team, you’ll lead the design and implementation of frameworks, tools, and processes that strengthen our data foundations - ensuring our data is accurate, observable, and compliant.Your mission will be to reduce the mean time to detection and resolution of data incidents, by establishing data contracts between producers and consumers, developing robust data observability systems, and embedding governance and GDPR compliance principles across the data lifecycle.You’ll collaborate with product engineering, data platform, analytics, and legal teams to build confidence in data as a product - one that’s reliable, auditable, and actionable.Responsibilities<ul><li>Define and execute the vision for Depop’s data quality, observability, and governance frameworks.</li><li>Establish data contracts between producers and consumers to ensure schema integrity and data reliability.</li><li>Develop and maintain systems that detect, alert, and resolve data quality issues with minimal latency.</li><li>Build automation and tooling to reduce MTTD (Mean Time to Detection) and MTTR (Mean Time to Resolution) for data incidents.</li><li>Partner with data platform engineers to integrate observability at every layer - ingestion, transformation, and consumption.</li><li>Lead GDPR and privacy-by-design initiatives, ensuring compliance and traceability across all datasets.</li><li>Define standards for metadata management, lineage tracking, and access control.</li><li>Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains.</li><li>Mentor engineers and analysts, fostering a culture of data stewardship and accountability.</li><li>Continuously improve data governance maturity through automation, documentation, and measurable quality KPIs.</li></ul>Qualifications<ul><li>Proven experience as a Staff Data Engineer or in an equivalent technical leadership role in data quality, observability, or governance.</li><li>Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.).</li><li>Deep understanding of data-as-a-product principles and experience applying them to improve data reliability and ownership.</li><li>Experience designing and enforcing data contracts and quality SLAs in distributed data ecosystems.</li><li>Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka.</li><li>Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices.</li><li>Familiarity with metadata management and data catalog tools (e.g.DataHub, Collibra, etc.).</li><li>Demonstrated success improving data reliability and observability in large-scale data platforms.</li><li>Excellent communication and stakeholder management skills; you can bridge technical depth with operational impact.</li></ul>Bonus Points<ul><li>Experience implementing automated compliance monitoring or policy-as-code systems.</li><li>Familiarity with real-time anomaly detection for data pipelines.</li><li>Experience contributing to or leading cross-functional data reliability initiatives.</li><li>Prior experience in consumer or marketplace platforms.</li><li>Passion for data as a product -  building reliable, observable, and compliant data systems that teams love to use.</li></ul>

Staff Data Engineer – Data Quality & Governance

<h2>Role</h2>We’re building a Data Quality, Observability &amp; Governance Team to make Depop’s data more reliable, trustworthy, and compliant. As an Engineering Manager (Tech Lead Manager) for this team, you’ll lead a group of engineers focused on improving data reliability, reducing time to detect and resolve data incidents, and driving accountability across data producers and consumers.You’ll provide both technical leadership and people management, helping define and execute the strategy for data observability, data contracts, and governance frameworks — ensuring our data is treated as a product: reliable, discoverable, high-quality, and built with clear ownership and accountability.Your team’s mission is to improve the mean time to detection and resolution (MTTD/MTTR) for data incidents, establish data contracts between producers and consumers, and embed GDPR and privacy-by-design principles into our data stack.<h2>Responsibilities</h2><ul><li>Lead and grow a multidisciplinary team of data and backend engineers focused on data quality, observability, and governance.</li><li>Drive the technical direction for data observability tooling, incident management automation, and quality frameworks.</li><li>Champion a “data as a product” culture, ensuring data producers own the quality, discoverability, and usability of their datasets.</li><li>Define and roll out data ownership models, quality SLAs, and contracts aligned with product thinking.</li><li>Collaborate with data platform, analytics, machine learning and product engineering teams to embed observability and validation throughout our data lifecycle.</li><li>Partner closely with legal, compliance, and security teams to ensure GDPR and privacy-by-design are integrated into all systems.</li><li>Define data reliability KPIs and build monitoring and alerting systems for proactive incident detection</li><li>Recruit, mentor, and develop engineers; foster a team culture centred on accountability, learning, and craftsmanship.</li><li>Balance hands-on technical work with coaching and strategic planning - setting clear goals, metrics, and delivery outcomes</li><li>Represent the team in cross-functional forums, influencing technical direction across Depop’s broader data ecosystem.</li><li>Continuously improve team operations, emphasising automation, transparency, and measurable impact on data reliability.  </li></ul><h2>Qualifications</h2><ul><li>Proven experience as an Engineering Manager or Tech Lead Manager leading data or platform teams.</li><li>Strong background in data engineering, observability, and distributed systems - ideally with prior hands-on experience in data infrastructure, reliability, or governance.</li><li>Expertise in building or managing systems leveraging Databricks, Spark, Kafka, or Airflow, with a strong grasp of modern data stacks.</li><li>Familiarity with data observability tools (Monte Carlo, Soda, etc.) and data validation frameworks (Great Expectations, DBT tests).</li><li>Experience defining and managing data contracts, lineage, and metadata systems.</li><li>Understanding of privacy regulations (GDPR, CCPA) and best practices for compliant data management.</li><li>Strong belief in and experience applying data-as-a-product principles - driving quality, usability, and accountability across the data lifecycle.</li><li>Strong people leadership skills: you know how to motivate, coach, and scale a high-performing technical team.</li><li>Excellent communication and collaboration skills, with a proven ability to align technical direction across teams.</li><li>Strategic and pragmatic thinker - able to define a long-term vision while delivering incremental value.  </li></ul><h2>Bonus Points</h2><ul><li>Experience building or managing data reliability or governance functions in a consumer or marketplace company.</li><li>Prior success implementing automated data quality SLAs or self-healing data pipelines.</li><li>Passion for treating data as a product - reliable, observable, and compliant by design.  </li></ul>

Engineering Manager - Data Quality & Governance

The JobWe’re looking for an experienced Paid Search Manager to join our growing Performance Marketing team and play a key role in driving our Paid Search strategy forward. This is a particularly exciting time to join as we begin to in-house our Paid Search activity from an agency, providing the opportunity to make a real impact in shaping the direction, structure, and success of the channel. In this role, you’ll support the Senior Paid Media Manager in developing innovative, data-driven search strategies designed to achieve business-level KPIs and deliver measurable growth. You’ll be hands-on in the day-to-day management of campaigns, analysing performance and making data-led decisions to drive results. Beyond campaign management, you’ll help define and execute a detailed testing roadmap, working closely with key stakeholders from our in-house Analytics, Data Science, and Product teams, working to improve paid search performance across our website and apps. This role will open opportunities to develop solutions using AI and Machine Learning, weaving them seamlessly into campaign optimisation and future strategies through feed optimisation, user targeting, bidding, creative strategies and more.Our Paid Media team is dynamic and our channels have seen exponential growth over the past 5 years. As a team, we have full ownership across the entire media funnel; from upper-funnel brand activity to lower-funnel performance campaigns. This brings together a diverse mix of skill sets, spanning from strategy and planning through to hands-on execution allowing for end-to-end responsibility, ensuring both big picture thinking and tactical delivery sit within one collaborative unit.Responsibilities<ul><li>Support the Senior Paid Media Manager to develop innovative Paid Search strategies with the goal to support business-level KPIs</li><li>Plan, execute, and optimise paid search campaigns (Text Ads and Shopping) to drive purchases within our efficiency goals</li><li>Assist in owning the end-to-end testing roadmap across ad copy, extensions, and landing pages to constantly improve campaign efficiency and scale, translating insights into tangible campaign improvements</li><li>Ownership over daily optimisation of bids, budgets, keywords, ad copy, and audiences, ensuring performance aligns with business KPIs monitoring and reporting on campaign performance</li><li>Support on incrementality testing across our Search portfolio</li><li>Collaborate with our Machine Learning and Product teams to build industry leading strategies through a series of testing and learning</li><li>Co-ordinate with the wider Paid Media team and marketing team for a cohesive approach to achieve shared objectives</li><li>Contribute to creative briefs with a Search-first perspective</li></ul>Requirements<ul><li>Hands-on Paid Search experience, agency or in-house, with retail/e-commerce exposure</li><li>Previous experience on App business working with an MMP</li><li>Knowledge of app-first user journeys (leveraging App Campaigns, SKAN/ATT measurement, and mobile-first tracking)</li><li>Advanced knowledge of Google Ads, Google Merchant Center, App Campaigns, and confident using analytics tools (GA, Looker)</li><li>Familiarity with complex attribution and LTV models</li><li>Experience managing multiple campaigns and budgets at scale</li><li>Ability to confidently and effectively communicate across varying levels of seniority cross functionally</li><li>Good attention to detail and process building to ensure excellent implementation and execution of work</li><li>Proactive and eager to learn attitude, loves a challenge and has the capacity for independent thinking</li><li>Analytical capabilities and Google Sheet / Excel literate with the ability to use data to answer business questions.</li></ul>Bonus<ul><li>Worked in a dynamic, growing business environment</li><li>Ability to write and operate scripts for automation</li><li>Experience in implementing brand new strategies and scaling them to business goals</li><li>Experience in a marketplace or e-commerce model</li><li>Experience across multiple performance marketing channels outside of Paid Search, particularly across Display</li><li>Affinity for Depop and the resale world</li></ul>

Paid Search Manager

Android EngineerRole Overview We’re searching for an Android Engineer eager to produce the most evocative buying and selling experience possible. You will work as part of an Android-focused Product team, developing new user facing features and transforming the way Depop connects with creative minds, by constantly delivering great user experiences on their Android devices.Want to find out more about Depop &amp; our engineering team? Take a look at our blog!We write about technology, people and smart engineering - <a href="https://engineering.depop.com/" target="_blank">https://engineering.depop.com/</a>Responsibilities:<ul><li>Design and implement new user-facing features in the Depop app</li><li>Work closely with the design, product management and backend teams to ensure that new features are implemented efficiently and effectively.</li><li>Educate the Depop family on the engineering challenges faced when supporting a wide range of devices with varying screen sizes, orientations and densities.</li><li>Taking ownership of the quality of the code by writing unit tests, instrumentation tests and working alongside QA to ensure that we can have confidence in every release that we put out.</li><li>Refactor existing code to leverage the latest developments in the Android framework.</li><li>Optimise the performance of the app to ensure that we have a minimum memory, CPU and data footprint.</li><li>Maintain a healthy curiosity towards other Android apps and champion ideas on what we can do to make the Depop Android app better.</li><li>Integration of new SDKs when required within the app.</li></ul>Requirements<ul><li>Android and programming with Java/Kotlin and have shipped (or helped to ship) at least one well regarded Android application.</li><li>Solid technical knowledge of mobile application development in Android with experience producing apps that feature a fast, consistent and non-blocking user experience.</li><li>Previous experience of using dependency injection, Kotlin Coroutines/Flows and Android support and design libraries.</li><li>Solid foundation in computer science, with strong competencies in data structures, algorithms and multi-threading.</li><li>Experience with debugging issues occurring on user’s devices using tools such as Crashlytics.</li><li>Able to exercise good judgement on when to craft your own frameworks, and when to use those provided by Android / by the community.</li><li>We have over 100 libraries and SDKs used in the app. While we won’t list them all here, you should be able to learn and work with new libraries, SDKs and design patterns quickly thanks to your experience and strong engineering fundamentals.</li></ul>Desirable: <ul><li>Previous experience of working with a large and mature Android codebase.</li><li>Has created complex and rich UI experiences, preferably using MVVM or MVI architecture.</li><li>Understanding of Retrofit for ease of integration with Http requests.</li><li>Experience of Continuous Integration preferably using Bitrise, and automated UI testing preferably using Espresso and JUnit.</li><li>Understanding of ProGuard and Gradle to ensure that our build is fast and stable.</li><li>You are someone who thrives in a highly collaborative environment; you enjoy taking ownership of your work, collaborating with designers, stakeholders and other engineers to develop a deep understanding of the work, breaking it down into deliverable chunks and keeping everyone up to date with your progress.</li></ul>

Android Engineer

In 2025 our ambition is to be a high-performing, delivery-focused organisation and the best engineering organisation for those who value meaningful career growth. We are looking for a UK based Staff Backend Engineer to be a key technical leader within the teams responsible for Depop’s Payments and Fulfilment systems, ensuring we provide our users with a best in class payments and shipping experience. You should feel equally at home around a whiteboard with a group of engineers, as you are explaining complex technical topics and why they matter to leadership and non-technical collaborators. You’ll own and drive the technical vision for how we can evolve the architecture, to fundamentally shift our product squads ability to move at speed and drive further innovation &amp; improvements for our users in the space.You will work closely with multiple product squads, other Staff and Backend engineers, and product &amp; engineering leaders, providing deep technical expertise to ensure our Payment and Fulfilment systems are scalable, secure, observable, and fit for our future growth ambitions.Responsibilities<ul><li>Partner with senior collaborators across Product, Engineering, Finance and Ops to translate strategic goals into well-architected, scalable platform capabilities.</li><li>Drive the technical design and implementation of key Payments and Fulfilment features, providing hands-on coding and architectural leadership.</li><li>Define and evolve the technical roadmap for our Payments and Fulfilment systems, ensuring they’re extensible for Product squads, and simple for engineers to work with.</li><li>Champion engineering excellence, setting high technical standards and advocating for best practices in system design, maintainability, performance, and building for speed.</li><li>Lead efforts to evangelise and generate consensus for why the technical work in this area is of high importance.</li><li>Mentor and coach engineers, elevating the technical capabilities of the teams around you and fostering a culture of technical excellence.</li><li>Identify and address complex technical challenges and bottlenecks, proposing and implementing effective solutions.</li></ul>QualificationsYou’ll be an excellent fit if you have: <ul><li>Experience as a Staff Engineer or equivalent senior technical leadership role working across the Backend at scale, ideally in a consumer or marketplace environment.</li><li>Deep expertise in designing, building, and operating distributed systems and platforms at scale.</li><li>Exceptional programming skills in Scala, Java, or TypeScript, with deep cloud platform expertise (AWS, GCP, or Azure).</li><li>Familiarity with event-driven architectures using Kafka.</li><li>A strong technical background with a track record of hands-on architecture and development of complex backend systems.</li><li>Ability to think strategically and pragmatically: you can define long-term technical strategies and implement rapidly, bringing others along with you.</li><li>Excellent communication and collaboration skills; you’re comfortable influencing technical direction and aligning diverse stakeholders across the organisation.</li></ul>.Bonus points if:<ul><li>You’ve previous experience in Fulfilment or Payments, including integration with vendors such as Stripe, PayPal, or shipping providers.</li><li>Prior work in fashion, marketplaces, fintech, or sustainability-driven tech.</li></ul>

Staff Backend Engineer

Depop is currently in the process of rapid growth, with Paid Marketing performing a critical role. As part of this, there is a demand for complex, in-depth measurement to help us understand performance of this investment and drive the future strategy. There is therefore space for a Staff Data Scientist to become an integral part of our Marketing Analytics team.The marketing analytics team works closely with marketing stakeholders to support all aspects of Depops marketing portfolio. This includes working to support the team plan campaigns and measure performance across a suite of channels, including paid marketing, ATL (for example TV and OOH) and Influencers. We also work with many other parts of the business, for example the data team, to ensure that data being produced is accurate and useful for analysis, or the Adtech team to implement new tools and tracking across our marketing ecosystem.The Staff Data Scientist will work to support our marketing team to measure the effectiveness of our paid marketing efforts, using analytical methodology and insights. You will help to drive our measurement roadmap, developing and implementing techniques including Multi Touch Attribution (MTA), designing and implementing tests and analysis on our targeting efforts and building models to understand the Lifetime Value (LTV) of customers acquired through marketing. The role will work with Senior Marketing Leadership and the Executive to drive the agenda around our measurement approach and provide advice on overall Marketing strategy. This role will therefore require you to develop a deep understanding of a specific area and also a high level view across the business, enabling you to guide your stakeholders to make robust, data-driven business decisions.Responsibilites:<ul><li>Strategic thinking and direction-setting: you will be expected to become a thought leader for the Senior Marketing Leadership team, helping to identify growth and optimisation opportunities using a variety of data sources and analytical techniques. This includes working with other analysts in the team to develop and implement holistic and consistent measurement techniques around complex topics like attribution, ROI, LTV, incrementality, targeting &amp; creative testing</li><li>Building new measurement capability: you will work to develop models, measurement frameworks and testing plans to help develop our Paid strategy. This will include working on Python models to assist our Attribution efforts, modelling the LTV of customers we have acquired from Marketing and developing testing methodologies to help us understand the impact of our ML </li><li>Getting things set up and BAU support: You will work closely with our Marketing team to help monitor performance, including setting up reporting in our BI reporting tool Looker. You will work closely with our Adtech team to proactively identify measurement opportunities from new Adtech unlocks. You will work closely with other Marketing Data Scientists to make sure we have a joined approach to measurement across both our digital marketing and brand marketing activities.</li><li>Making sure the business knows the numbers: you will become a key point of contact for our Senior Marketing Leadership team and the executive for all things data, and you will engage with various stakeholders across the business to ensure decisions are as data-driven as possible. </li></ul>​Requirements:<ul><li>Extensive track record as an Data Scientist/Analyst with a wide range of experience under your belt with previous experience in a digital marketplace and/or mobile first environment</li><li>Extensive Marketing Analytics experience and a track record of implementing measurement methodologies to understand Paid Marketing performance</li><li>Experience developing products to measure performance of Brand Marketing/ATL channels through methods such as MT/Incrementality Testing/LTV modelling</li><li>Experience driving measurement roadmaps and agendas with senior stakeholders in Marketing and the executive team</li><li>Commercial awareness and a proactive attitude to make a difference and drive impact</li><li>Proficiency in productionising Python/R models for analytics using scheduling tools like Airflow</li><li>Proficiency in SQL and the ability to work with large, complex and sometimes fragmented datasets</li><li>Strong understanding of a range of paid media channels, for example: Google, Meta, TikTok, SVOD/OTT and familiarity with the data generated from them</li><li>Worked with mobile attribution data from MMPs (for example, Branch, Appsflyer, Kochava)</li><li>Understanding of the changing privacy landscape for marketing data and its implications for analysis</li><li>The ability to communicate complex problems and analysis simply with a variety of stakeholders and act as a bridge between technical and non-technical colleagues</li><li>Familiarity with business intelligence tools like Looker, Tableau, PowerBI</li></ul>

Staff Data Scientist (Paid Marketing)

We’re looking for a User Researcher to join our UX research team to help us understand our users, their needs and create delightful user experiences across our product.  You’ll be comfortable scoping out, designing and undertaking robust investigations, as well as disseminating actionable insights to help bring the voice of our customers to the core of our organisation and product.  At Depop, research underpins our design process end-to-end. You&#39;ll be working with fellow researchers, designers, product managers, copy writers and analysts to shape the future of fashion.In addition to being adept at a wide range of methodologies (from depth interviews to surveys and usability testing) you’ll also understand how to synthesise data from multiple sources into compelling, actionable insights and advocate for user needs in a rapid-paced, high growth environment.Responsibilities<ul><li>Take ownership of end-to-end research delivery; from understanding where our knowledge gaps are, gathering the questions and hypotheses,  planning and executing the research all the way through to analysing and sharing your findings with the team</li><li>Work closely with product managers, designers, engineers and other user researchers to generate hypotheses and plans for high-impact research to help us better understand our users and help us create a better product</li><li>Lead the research for a product area, suggesting the best approach and methods to use so we’re capturing the right insights that help us grow and develop our product</li><li>Autonomously carry out research from tactical to strategic using a wide range of research methods, e.g. remote interviews, ad-hoc surveys, unmoderated research.</li><li>Collaborate closely with our analytics team to make sure our qualitative insights are also enhanced by robust quantitative analysis whenever possible, and run some basic quantitative analysis yourself using our internal tools or surveys.</li><li>Communicate research findings to inform business decisions through the best possible means ranging from presentations, workshops, reports or any other method that gets the insights into our decision-making</li></ul>Requirements<ul><li>A UX researcher with a strong portfolio demonstrating a wide range of qual and quant methods e.g. in exploratory, generative and evaluative research </li><li>Experienced in delivering autonomously and to high quality standards</li><li>Experience in advocating for and delivering UX Research in different environments</li><li>Effective in seeking out, building and maintaining strong and trusting relationships with key stakeholders across the business</li><li>Effective and compelling communicator: Collate and disseminate various threads of insights into easy-to-digest and actionable recommendations</li><li>You are able to communicate research findings clearly, accurately and in a compelling way utilising a variety of written and visual formats</li><li>You thrive in an agile environment that requires multi-tasking</li><li>Comfortable working with remote peers on a consistent basis</li></ul>

User Researcher (9 month FTC)

Depop is looking for an experienced Senior Backend Software Engineer to join us permanently. Within this role, you’ll be working with 5&#43; backend engineers, Engineering Managers and Product Managers to drive the team to success. The team is backend focussed and handles various backend systems at the core of Depop. Responsibilities:  As a Senior Backend Engineer within this team, you can expect to:<ul><li>Work closely with Engineering Managers, Product Managers, and various Engineers to understand problems and to design solutions </li><li>Produce high-quality code that is well-structured and simple to understand that will be used by 1M&#43; active daily users</li><li>Take ownership of product development, from feature discovery, to the breakdown of work, and its implementation</li><li>End-to-end application support, including production incident management </li><li>Embrace agile methodologies and user-centred thinking</li><li>Engage in a culture of continuous improvement by attending events such as blameless post-mortems, architecture reviews, and engineering guild sessions.</li><li>Collaborate with fellow engineers in the cross functional environment to solve problems and write code</li><li>Mentor and coach your colleagues</li><li>Be responsible for your code, workflows and, data through their entire lifecycle</li><li>The language you use should be a tool to solve a problem and not fixate on a specific language. We are looking for an engineer who is happy working across different tech stacks.  </li></ul>Desired experience:<ul><li>Solid software engineering experience - you can provide evidence that you can learn our TypeScript and Scala stack effectively. </li><li>Experience with relational or non-relational databases, preferably PostgreSQL and DynamoDB </li><li>Stream processing: (e.g. Kafka)</li><li>Experience building scalable web applications serving 10,000s of requests per second</li><li>DevOps culture (CI/CD pipeline)</li><li>Ability to proactively find and solve complex problems independently, but also know when to seek guidance or help from your peers.</li><li>Product-oriented mindset with a focus on solving real business problems rather than over-engineering solutions.</li><li>Experience with iterative development using A/B testing  </li></ul>Must haves:<ul><li>Willing to work across multiple paradigms and languages, such as backend or data work, using TypeScript, Scala and Python. </li><li>Strong technical and non-technical communication skills</li><li>Proficient in testing solutions at different levels — unit and integration </li><li>Experience with Kubernetes or similar</li></ul>Bonus points:<ul><li>Experience with Play framework</li><li>Experience with eCommerce</li><li>Experience with event-driven architectures, preferably using Kafka</li><li>Experience in using production AWS infrastructure, ideally with Terraform</li><li>Experience with Python</li><li>Experience with data engineering</li></ul>

Senior Backend Engineer - Core API

In 2025 our ambition is to be a high-performing, delivery-focused organisation and the best engineering organisation for those who value meaningful career growth. We are looking for a UK based Engineering Manager to lead our Payments squad, a key team ensuring we provide our users with a best in class purchase experience. You will be expected to help guide your team while delivering a contribution to its impact and strategic roadmap, and be part of shaping our engineering culture of high performance and high compassion. As an Engineering Manager at Depop, you will be responsible for the success, wellbeing and effectiveness of the team. You will work alongside a Product Manager and Product Designer with domain expertise as part of our wider Transactional Experience initiative focusing specifically on making sure transactions with Depop are simple, efficient and hassle-free for our users.You will manage all engineers in the team and be responsible for helping to create and executing on the team&#39;s roadmap.   Responsibilities<ul><li>Deliver Value and Drive Results: Ensure your team delivers high-quality solutions that meet business needs, while maintaining a strong focus on delivery and creating measurable value.</li><li>Lead and Support Your Team: Manage a cross-functional team of 3-7 engineers (BE and iOS), ensuring they are happy, motivated, and set up for success. While encouraged to stay hands-on, your primary focus will be on enabling the team to perform and deliver at their best.</li><li>Foster Growth and Feedback: Be accountable for the team&#39;s performance and the career growth of its members, providing regular feedback, guidance and coaching through 1:1s and continuous support.</li><li>Collaborate Across Functions: Partner closely with marketing, ops, analytics, engineering, and product to align on goals, define priorities, and ensure smooth cross-functional collaboration.</li><li>Build an Inclusive Culture: Advocate for team health, inclusion, and diversity, while fostering a respectful and empowering environment that encourages continuous learning and improvement.</li></ul>QualificationsYou’ll be an excellent fit if you have: <ul><li>A proven track record as an Engineering manager of growing and building high-performing engineers, teams, and processes.</li><li>Come from a strong Backend engineering background (preferably on the JVM), and are comfortable relying on your technical expertise to lead and guide the team from a technical perspective. </li><li>You have previously worked in the Fulfilment or Payments spaces, and are experienced with dealing with and integrating with vendors such as Stripe and Paypal in this space.</li><li>Enough experience to lead across the full-stack, and lean on your technical expertise and leadership to  provide the connective tissue between BE and FE in order to uphold high engineering standards across all. </li><li>Have a strong sense of ownership and track record of delivery. You get huge satisfaction from tackling complex and ambitious problems, and delivering the highest quality features.</li><li>Strong decision making skills, based on the data available in the face of ambiguous or changing priorities and goals, with preference towards simplicity and a strong bias towards delivery.</li><li>Strong stakeholder management skills, able to collaborate with cross-disciplinary stakeholders with varying goals to achieve great results that satisfy all requirements.</li><li>Know how to drive positive interactions throughout your team and drive positive change.</li></ul>Bonus points if:<ul><li>You are familiar with any one of the following technologies :  Scala, Java  or Typescript.</li><li>You are familiar with observability, tracking and data pipeline tools and methodologies.</li><li>You have previously worked in an App first business.</li></ul>

Engineering Manager - Payments

The Insights team within Depop supports the entire business. Our analysts are embedded within Product and Marketing teams and are an integral part of making sure our business is as data-driven as possible.We are currently looking for a mixed methods Senior Market and Audience Researcher to lead our campaign research efforts. In this role you will partner with our Marketing stakeholders to support their research needs throughout the campaign lifecycle, working closely with the Marketing Data Science team.Responsibilities:In this role your responsibilities will be focused on campaign research and measurement and will include:<ul><li>Leading upper funnel measurement for marketing campaigns across multiple channels; triangulating disparate data sources (including brand trackers, internal behavioural data, external signals) to provide a holistic view of campaign performance</li><li>Supporting the &#34;Creative Feedback Loop&#34; by conducting earlier-stage creative testing (pre-testing) and post-campaign analysis to ensure our messaging resonates with our target audience </li><li>Conducting primary research (using qualitative and quantitative methods) about our audience to help feed into creative briefs and strategy</li><li>Partnering with Marketing Data Science to ensure research is integrated with our wider marketing analytics, providing a unified recommendation for marketing </li><li>Acting as a strategic partner to the Marketing team, translating findings into actionable &#34;so-whats&#34; that inform marketing strategy</li><li>Identifying and sourcing secondary data (market trends, competitor benchmarks) to complement our research and internal data, building a holistic understanding of our users</li></ul>Requirements:Must haves:<ul><li>Deep expertise in campaign measurement methodologies, including Control/Exposed frameworks, Pre/Post studies, and Brand Lift Studies (BLS)</li><li>Proficiency in the statistical concepts required to validate these studies, including hypothesis testing, power analysis and significance testing </li><li>Proven track record of conducting impactful market research and ability to turn research data into clear findings and compelling narratives that inform decisions</li><li>Ability to work independently end-to-end to design, conduct, and synthesize research with minimal supervision, including managing external research vendors and panel providers</li><li>Proven experience of conducting hands-on projects using both qualitative and quantitative research methods (e.g., surveys, interviews, focus groups)</li><li>Proficiency in SQL and advanced skills in Excel/Google Sheets, with experience in software such as SPSS, Q, or DisplayR</li><li>An excellent, confident communicator with strong interpersonal skills and good at building relationships with colleagues across the business </li><li>Commercial awareness and a proactive approach to make a difference and drive impact</li><li>A hunger to learn, natural curiosity and a keen eye for detail</li><li>A strong sense of ownership and highly organised nature</li></ul>Bonus points if you have:<ul><li>Experience working in an in-house Insights or Analytics team</li></ul>Salary Band: $142,000-$170,000&#43;

Senior Market and Audience Researcher (12-month FTC)

Senior Specialist - Content ModerationWe are looking for a Senior Specialist - Content Moderation  to strengthen Depop’s content moderation operations. You will play a key role in optimising our moderation tooling, improving workflows, and driving initiatives that reduce user pain points while enabling scalable, effective risk detection. Partnering closely with Product, Engineering, Data Science, and CX, Support, Sellers, PR and Comms,  you will ensure Depop’s moderation ecosystem evolves in line with community needs and company priorities.  This role requires a test-learn-adapt mindset, with the ability to pivot between BAU needs and experimentation as priorities shift. We need you to bring a team-focused approach, working collaboratively within our Trust &amp; Safety team and across other functions. You will ensure we are always solving for the right problems by keeping the user perspective at the centre of decisions, using data analysis and user sentiment to identify, validate, and address key pain points.Responsibilities<ul><li>Lead improvements to Depop’s content moderation tooling (primarily Cinder) by designing, testing, and iterating workflows that support accurate, efficient, and scalable moderation.</li><li>Use user sentiment data and feedback to identify friction points, inform improvements, and enhance the overall user experience.</li><li>Apply a test–learn–adapt approach to moderation initiatives, ensuring changes are data-driven and iterated based on impact.</li><li>Partner cross-functionally with Product, Engineering, Data Science, and CX to scope, prioritise, and implement solutions that improve detection and handling across different risk areas.</li><li>Conduct hands-on &amp; real-time data analysis by self-serving data from Looker and other internal tools to inform decisions and measure outcomes, as well as proactively identify future risks and trends and proactively recommend safeguards around them.</li><li>Support and refine labelling processes to ensure accurate, consistent, and scalable enforcement across multiple risk areas.</li><li>Sample and spot check datasets to identify trends and root causes</li><li>Document and communicate feature requests, requirements, and workflow improvements to stakeholders clearly and effectively.</li></ul>Requirements<ul><li>Proven experience in Trust &amp; Safety, moderation, or platform integrity roles.</li><li>Familiar with a test, learn, adapt approach in an product-led environment</li><li>Strong knowledge of moderation tooling and processes, including designing workflows and optimising for agent efficiency</li><li>Demonstrated experience in cross-functional collaboration, ideally with Product, Engineering, and/or Data Science</li><li>Analytical skills with the ability to self-serve and interpret data from Looker or similar tools to uncover user pain points and then take action to solve for them</li><li>Excellent communication skills (both verbal and written), with a proactive approach to sharing updates, flagging issues, and reporting on progress</li><li>Strong team player who fosters collaboration and transparency across workstreams</li><li>Demonstrated ability to follow through on responsibilities, ensuring issues are analysed, escalated where necessary, and resolved to completion</li><li>Comfortable in fast-paced, ambiguous environments with a mindset of continuous improvement</li></ul>

Senior Specialist, Content Moderation

We’re looking for a Product Data Scientist to join our Insights team. You’ll partner closely with product, engineering, and machine learning to deliver insights, drive experimentation, and shape the future of Depop’s product ecosystem.This role sits at the intersection of technical excellence and strategic impact. You will not only dive deep into data, pipelines, and experimentation frameworks, but also influence product direction, user experience, and commercial outcomes.What You’ll Do:Provide analytics for a core product area Work as the go-to data scientist for a product domain. Deeply understand user behaviour, measure performance and find opportunities to improve outcomes.Influence product and business strategyConnect your analyses to broader company goals. Help the product team understand trade-offs, challenge assumptions and drive evidence based decision making. Design and help evaluate experimentsDefine hypotheses, monitor A/B tests, and at times conduct post experiment analyses. Provide clear recommendations on rollouts or iterations.Work together with other teams to enable self-serve data driven decision makingCollaborate with product, platform and data teams to ensure scalable, accurate datasets for analysis. Develop dashboards and reporting that drive awareness and actionable insights.What We’re Looking For:<ul><li>Strong SQL skills and experience querying large, complex datasets</li><li>Basic understanding of Python</li><li>Familiarity with ETL workflows and debugging data issues</li><li>Proven experience with A/B testing design and interpretation</li><li>Hands-on experience with visualisation tools (Looker, Tableau, or similar)</li><li>Excellent communication skills—able to explain complex topics clearly and persuasively</li><li>Commercial mindset with the ability to balance user and business needs</li><li>Strong sense of ownership, highly organised, and proactive</li><li>Comfortable working across ambiguity and fast-changing environments</li></ul>Bonus PointsExperience in C2C marketplaces or mobile-first consumer productsExperience working alongside machine learning teams or embedding data science in ML-powered product discovery

Data Scientist (Product Analytics)

Job DescriptionDepop&#39;s AdTech team is an product enablement team within Depop that focuses on the backend, infrastructure, and data that primarily support our paid marketing teams.Our goal is to provide a robust, scalable, and efficient foundation for the use of data in marketing services and to act as an accelerator for the paid marketing team’s ability to acquire new users and drive GMV for Depop.As a Data Engineer, you&#39;ll play a pivotal role in shaping our data roadmap, empowering marketing teams with reliable, high-quality data. You&#39;ll also contribute to a vibrant data culture, fostering self-service capabilities and  impactful insights. What you’ll do<ul><li>Drive significant impact – Take ownership of highly impactful and complex marketing data initiatives, contribute to the team’s long term roadmap, and see projects through to successful delivery.</li><li>Shape our data foundations – Build and maintain central data marketing models that power insights, marketing pipelines, and machine learning applications. </li><li>Deliver reliable pipelines – Design, develop, and run production-ready data pipelines that ensure high-quality, trusted data for marketing and insights teams.</li><li>Work with modern tools – Use our stack to create scalable models and workflows that support decision-making across the business.</li></ul>What we’re looking for<ul><li>Proven delivery skills - You’ve taken projects from idea to production, partnering with business teams, scoping requirements, and owning solutions end-to-end.</li><li>Strong technical toolkit - You’re confident with SQL, Python, and modern data tools (e.g., AWS, Databricks, Airflow, dbt, Looker), and you know how to design scalable, cost-effective, and well-governed pipelines.</li><li>Collaboration &amp; communication - You document clearly, plan effectively, and work closely with other engineers, analysts, and marketers to make data accessible and impactful.</li><li>MarTech &amp; customer data experience - You’ve worked with event streams, customer journeys, and marketing/advertising platforms and technologies (e.g., Google Ads, Meta CAPI, CDPs and CMPs), with an eye on attribution, privacy, and compliance.</li><li>Engineering mindset – You value CI/CD, observability, and integration across the stack, and you’re curious about real-time processing (Kafka, Kinesis, etc.) as a bonus.</li></ul>

Data Engineer

Job Description<h2>The role</h2>We’re looking for a UK-based Engineering Manager to lead our Community Experience (CX) squad, a cross-functional team focused on improving customer support tooling and in-app help experiences. This work helps Depop users get the support they need more easily and enables our support teams to operate effectively at scale.This role is well suited to an Engineering Manager with a few years of experience who is excited to strengthen their people leadership and execution skills in a supportive, high-performing environment. You will work in close partnership with a Product Manager and a Staff Engineer (who provides technical leadership but does not have direct reports). You’ll manage all engineers in the squad and be accountable for the team’s delivery, health, and effectiveness.<h2>What you’ll work on</h2>The CX squad builds and improves the systems and experiences that power customer support, including:<ul><li>In-app help and support entry points across key user journeys</li><li>Workflows and tooling that support our customer experience operations</li><li>Integrations with third-party support platforms and automation tools</li><li>Measurement, reliability, and feedback loops that improve support outcomes over time  </li></ul><h2>What you’ll do</h2><h3>Delivery &amp; execution</h3><ul><li>Be accountable for day-to-day delivery within the squad, ensuring work is well-scoped, sequenced, and delivered with a strong quality bar.</li><li>Partner with Product and Engineering leadership to plan and execute against an agreed roadmap; surface risks, dependencies, and trade-offs early.</li><li>Drive a delivery cadence that balances impact, speed, and long-term maintainability.  </li></ul><h3>People leadership</h3><ul><li>Line manage a cross-functional team of iOS and backend engineers (typically 3–7 engineers), creating an environment where people can do their best work.</li><li>Run effective 1:1s and support engineers’ growth through coaching, feedback, and clear expectations.</li><li>Support performance conversations with guidance from your Senior Leadership and People partners.  </li></ul><h3>Cross-functional collaboration</h3><ul><li>Partner closely with a Product Manager, Product Designer, and Staff Engineer to align on priorities, shape plans, and deliver outcomes.</li><li>Collaborate with Customer Experience/Operations stakeholders to ensure what we build works in practice and improves real user and agent experiences and delivery business value.</li><li>Communicate progress, risks, and outcomes clearly to stakeholders and leadership.  </li></ul><h3>Team culture &amp; ways of working</h3><ul><li>Foster an inclusive, respectful team culture that supports learning, continuous improvement, and sustainable pace.</li><li>Help the team improve how it plans, ships, measures impact, and iterates.  </li></ul><h2>What we’re looking for</h2>You’ll be a strong fit if you:<ul><li>Have experience as an Engineering Manager, or are in your first few years of people management (including transitioning from a senior individual contributor role).</li><li>Care deeply about delivery and team effectiveness, and enjoy helping teams ship high-quality work driving business impact consistently.</li><li>Have a solid engineering background and are comfortable engaging in technical discussions to support planning, prioritisation, and execution.</li><li>Are confident building strong relationships across Product, Design, and operational stakeholders, and can navigate differing perspectives to keep work moving.</li><li>Lead with empathy and clarity—providing feedback, coaching, and support while maintaining a high bar for performance and impact.</li><li>Align with Depop’s values: showing up for the community, having each other’s backs, acting with purpose, and thinking sustainably.  </li></ul><h2>Bonus points (not required)</h2>Experience or curiosity in one or more of the following areas:<ul><li>Customer support tooling or operational platforms (e.g., integrations with tools like Zendesk, Intercom, or similar), and an interest in improving agent and customer workflows.</li><li>Mobile and backend systems, or leading teams working across multiple parts of a product stack.</li><li>Experimentation and impact validation (e.g., A/B testing or other approaches to measuring product outcomes).</li><li>Observability and data-informed decision making (e.g., metrics, logging, monitoring, dashboards, or event tracking).</li><li>An interest in emerging technologies, including AI-powered tooling, and how they could improve customer and agent experiences.  </li></ul>

Engineering Manager, CX

Platform Engineering at Depop provides the foundational infrastructure and tooling that powers our engineering organisation. Our mission is to enable engineering teams to deliver reliable, scalable, and secure services with ease, by abstracting away the complexities of operating in production.As an Associate Platform Engineer on the Platform Enablement team, you&#39;ll contribute to maintaining and improving our platform, supporting internal developer needs, and learning best practices in infrastructure and platform engineering. This is an entry-level role with a focus on growth and learning, where you will gain hands-on experience with cloud-native technologies while helping keep our platform stable and reliable.Responsibilities:<ul><li>Support platform operations: Assist with maintaining critical platform capabilities (Github, incident.io, JFrog, Jenkins to name a few)</li><li>Observability and reliability: Contribute to managing Datadog dashboards, alerts, and logging patterns to improve visibility across services.</li><li>Security and compliance: Help enforce best practices for secure and compliant service hosting within Kubernetes.</li><li>Developer enablement: Work closely with product engineers to improve their experience running services on our platform.</li><li>Continuous improvement: Participate in incident management and platform reliability culture, automation, and process improvements.</li><li>Learning &amp; growth: Develop expertise in cloud infrastructure, DevOps practices, and platform engineering under mentorship from senior team members.</li></ul>Expectations:<ul><li>Show curiosity and eagerness to learn cloud-native and platform technologies.</li><li>Collaborate effectively with other engineers and stakeholders.</li><li>Take ownership of small platform features or improvements with guidance.</li><li>Proactively seek feedback and continuously develop technical skills.</li></ul><h1></h1>Key Knowledge &amp; Experience:To be successful in this role, candidates should bring:<ul><li>Fundamentals in software engineering (e.g., one or more programming languages such as Python, Go, or JavaScript).</li><li>Basic understanding of Linux systems and shell scripting.</li><li>Exposure to or interest in Kubernetes and containerisation - familiarity with Docker is a plus.</li><li>Awareness of CI/CD concepts (e.g., GitHub Actions, Jenkins, CircleCI, or similar).</li><li>Interest in observability tooling (monitoring, logging, tracing) – familiarity with Datadog is a plus.</li><li>Interest in improving and refining incident management processes</li><li>Interest in improving developer experience</li><li>Understanding of cloud platforms at a conceptual level - familiarity with AWS is a plus.</li><li>Good problem-solving skills and the ability to learn new technologies quickly.</li><li>Strong collaboration and communication skills.</li></ul><h1></h1>Nice-to-haves:<ul><li>Experience working with service meshes (e.g., Istio, Linkerd).</li><li>Hands-on exposure to infrastructure-as-code tools (Terraform, Helm).</li><li>Awareness of security and compliance considerations in cloud environments.</li></ul>

Associate Platform Engineer

The RoleWe’re looking for a Senior Integrated Marketing Coordinator to join our Brand Marketing and Inventory team and support the planning and execution of integrated campaigns across the US and AUS markets. Reporting into the US Integrated Marketing Lead, this role will play a key part in bringing Depop’s brand stories to life. From cultural moments and seasonal campaigns to always-on activity, we are looking for someone who can help us to engage our buyer and seller community.This is an exciting opportunity for a marketing professional who’s passionate about resale fashion, sustainability, and community-led platforms. You’ll work across multiple markets, collaborating with global and regional teams to ensure campaigns are locally relevant while globally cohesive. You’ll support in building campaign toolkits, managing timelines, coordinating cross-functional partners, and reporting on performance to help us deliver bold, impactful work that drives brand love and business results.Our integrated marketing team works end-to-end across the funnel, from strategy and creative development through to execution and measurement. We partner closely with Creative, PR, Social, Paid Media, Product, Inventory, Brand Strategy, Partnerships, and Influencer teams, as well as external agencies, to ensure every campaign reflects Depop’s values and resonates with our community. You’ll be joining a small but dynamic team where there’s room to take ownership, grow your skills, and make a real impact on a global stage.Salary: $90,000-$110,000Key ResponsibilitiesPlanning &amp; Delivery<ul><li>Assist in the development and execution of seasonal global integrated marketing plans, working under guidance from each market lead. </li><li>Drive organization, documentation, and clear communication across projects to streamline workflows and enable team leads to focus on strategic priorities.</li><li>Manage the global retail/cultural moments marketing calendar in partnership with the Brand Strategy, Creative, and Inventory and Merch teams, ensuring alignment of global, regional, and cultural priorities across the funnel.</li><li>Partner with Creative, Brand Strategy, PR, Social, Paid Media, Influencer, Partnerships, Inventory and Merch, and Product) to ensure campaign needs (assets, timelines, deliverables) are met. </li><li>Support campaign measurement, partnering with the Insights team to understand the impact of our work and share learnings that inform future planning.</li><li>Leverage both audience insights and internal data to identify business and market trends, providing input that helps shape global marketing strategies and priorities.</li></ul>Teamwork, Communication &amp; Collaboration<ul><li>Actively collaborate with marketing leads in the UK, US, and AUS to ensure strategies are locally relevant while globally cohesive.</li><li>Provide ongoing updates and clear communication to global and regional stakeholders, ensuring transparency and alignment across projects.</li><li>Build and maintain relationships with internal stakeholders and select external partners/agencies.</li></ul>User-Centric Execution<ul><li>Champion the Depop community’s perspective, ensuring marketing campaigns reflect and resonate with the needs, passions, and behaviors of our buyers and sellers.</li><li>Gather and share user and cultural insights with the global team to inform campaign development.</li></ul>Problem Solving &amp; Agility<ul><li>Work closely with Paid Media and Insights teams to monitor campaign performance, reporting back on KPIs, insights, and learnings to refine and optimize global plans.</li><li>Proactively identify challenges, propose creative solutions, and adapt plans to stay relevant in fast-changing cultural and resale environments.</li></ul>Qualifications &amp; Experience<ul><li>Experience in marketing, with a track record of supporting global, integrated, full-funnel campaigns.</li><li>Strong cross-functional skills, with the ability to align diverse stakeholders.</li><li>Ability to interpret data and insights to inform decision-making, with experience applying both audience research and internal business metrics to guide marketing strategy.</li><li>Excellent written and verbal communication skills</li><li>Highly organized, resourceful, and detail-oriented, with proven project management examples.</li><li>Passionate about fashion, sustainability, and global communities.</li><li>High proficiency in PowerPoint, Excel, and Google Workspace. </li></ul>Bonus<ul><li>Experience working within marketplace, retail or e-commerce brands.</li><li>Active Depop user (buyer or seller) who understands the culture of resale, sustainability, and self-expression.</li><li>Passion for fashion and internet culture, with an ability to spot and respond to emerging trends globally.</li></ul>

Senior Integrated Marketing Coordinator

We’re hiring a Senior Product Manager to lead the iOS seller inventory experience — Depop’s most commercially critical surface, responsible for ~86% of GMV.Our vision is to make Depop the easiest place to turn items into shoppable inventory, accelerating our mission to make fashion circular. This role sits at the heart of that mission: shaping how the majority of sellers create, manage, and scale their businesses on Depop.You’ll report to the Director of Product (Supply) and operate as a senior individual contributor, with end-to-end ownership of a high-impact product area. This role carries significant autonomy, influence, and responsibility, and is ideal for a PM who thrives in ambiguity and wants to drive meaningful marketplace impact at scale.Own a mission-critical, AI-powered product surface<ul><li>Own the iOS seller inventory experience end-to-end, accountable for outcomes that materially impact GMV, seller success, and marketplace health.</li><li>Act as the single-threaded owner for strategy, prioritisation, and execution within the inventory space - setting sellers up for success to turn items in their wardrobe into shoppable inventory. </li><li>Lead the application of AI and Gen-AI to meaningfully simplify seller workflows - reducing cognitive load, time-to-list, and friction across the funnel.</li></ul>​Set vision and strategy<ul><li>Define and evolve a clear, opinionated product vision and strategy for iOS seller inventory, aligned with Inventory and Supply priorities.</li><li>Identify where AI-driven assistance, automation, and intelligent defaults can create step-change improvements in ease, speed, and quality.</li><li>Design toward habitual usage, ensuring AI experiences feel trusted, predictable, and seamlessly embedded in sellers’ daily workflows.</li></ul> Decide what to build (and what not to)<ul><li>Combine deep user research, insights, experimentation, and technical understanding to prioritise the highest-impact opportunities.</li><li>Partner with your leadership trio to make trade-offs between innovation and reliability, automation and control, speed and trust - particularly critical in AI-powered experiences.</li><li>Partner with your ML lead to clearly articulate the “why” behind AI decisions and direction, including overall strategy around how user experience and AI come together in your product strategy</li></ul>Drive high-quality, lovable iOS execution<ul><li>Partner closely with iOS Engineering, Design, and Data to deliver simple, intuitive, native experiences that sellers return to daily.</li><li>Set a high bar for AI UX quality: low friction, high relevance, graceful failure states, and clear user agency.</li><li>Use experimentation and staged rollouts to validate that AI features are understood, adopted, and habit-forming, not just novel.</li><li>Partner with engineering manager to ensure instrumentation and feedback loops are in place to continuously improve model outputs and user experience.</li></ul> Lead through influence<ul><li>Align closely with the director of product and senior functional leaders on strategy, priorities, and long-term bets.</li><li>Build strong partnerships across Product, Engineering, Design, Data Science, Operations, and Product Marketing.</li><li>Create clarity and momentum for your squad by providing context, direction, and crisp decision-making.</li><li>Raise the bar for AI product thinking across the org by modeling strong judgment, ethical consideration, and customer obsession.</li></ul>What we’re looking for<ul><li>Proven experience owning and scaling AI-powered mobile product experiences, ideally in a consumer or marketplace context.</li><li>Hands-on experience with GenAI (e.g. LLM-powered workflows, AI-assisted creation, recommendations, automation) beyond experimentation — shipped to real users at scale.</li><li>Demonstrated ability to design AI experiences that are habitual, easy, seamless, and genuinely lovable, not complex or overwhelming.</li><li>Strong understanding of native iOS development and mobile UX patterns.</li><li>Excellent product judgment around when to use AI vs. traditional solutions, including considerations of trust, explainability, and user control.</li><li>Track record of driving measurable commercial and user outcomes on high-impact product surfaces.</li><li>Comfortable operating in ambiguity and making high-stakes decisions with incomplete information.</li><li>Influential communicator with strong executive presence.</li><li>High ownership and accountability for outcomes, not just output.</li><li>Experience with experimentation, A/B testing, and data-informed iteration.</li></ul>

Senior Product Manager

The RoleDepop is entering its next phase of growth, with a clear ambition to scale buyer demand, increase purchase frequency, and strengthen our competitive position, particularly in the US. Shipping is a critical lever in achieving this, directly shaping buyer conversion, affordability perception, seller success, and long-term marketplace economics.As Depop grows, shipping has evolved from a supporting operational function into a driver of growth and unit economics. The scope now spans pricing and affordability, commercial strategy, product experience, and long-term logistics design, with strong focus from Depop and Etsy leadership.We are hiring a Senior Strategy &amp; Operations Manager (Shipping) to play a central role in shaping how Depop scales its marketplace economics over the next phase of growth. This role exists to provide senior, end-to-end ownership of shipping strategy execution, ensuring we can deliver a coherent, multi-year shipping roadmap that supports growth while improving affordability and the sustainability of our cost base.This is a senior individual contributor role with full ownership of shipping execution across strategy and operations. You will not manage a team, but you will operate with significant autonomy and influence, acting as the single-threaded owner across Product, Engineering, Analytics, Finance, Commercial, Marketing, Operations, and external partners.What you’ll be responsible for<ul><li>End-to-End Ownership of Shipping Execution</li><li>Own outcomes across Depop’s shipping roadmap, with direct impact on growth, affordability, and marketplace economics.</li><li>Define priorities, sequencing, dependencies, and success metrics across a portfolio of shipping initiatives.</li><li>Drive alignment across teams with competing priorities, making trade-offs explicit to maximise impact and execution velocity.  </li></ul>Affordability as a Growth Lever<ul><li>Lead initiatives aimed at improving buyer-facing shipping prices and affordability perception to support conversion and repeat purchase.</li><li>Design, execute, and evaluate experiments across subsidies, seller incentives, and promotional approaches.</li><li>Partner with Analytics and Finance to measure impact and guide ongoing investment decisions.  </li></ul>Cost and Commercial Strategy Execution<ul><li>Lead cross-functional efforts to reduce shipping costs while increasing flexibility to support growth over time.</li><li>Shape carrier and logistics partner strategies across multiple shipping models.</li><li>Own execution of shipping-related commercial initiatives in close partnership with Finance, Legal, and Etsy stakeholders.  </li></ul>Long-Term Shipping Strategy<ul><li>Lead the definition of Depop’s long-term shipping operating model to support scale, growth, and competitive differentiation.</li><li>Advance future-facing initiatives such as multi-carrier design, alternative pickup and drop-off models, label architecture, subscriptions, and loyalty concepts.</li><li>Ensure near-term decisions remain aligned with long-term growth objectives and platform strategy.  </li></ul>Cross-Functional Leadership and Operating Rhythm<ul><li>Act as the central owner connecting Product, Engineering, Analytics, Finance, Commercial, Marketing, and Operations around a coherent shipping roadmap.</li><li>Establish effective operating rhythms and decision forums, and deliver clear, data-backed recommendations to senior and executive stakeholders.</li><li>Surface risks, dependencies, and trade-offs early, and influence roadmap sequencing and investment decisions through insight and judgment.</li></ul>Required skills &amp; experience<ul><li>Extensive experience in strategy, operations, consulting, product operations, or related roles within technology-led, marketplace, or platform businesses.</li><li>Demonstrated experience owning complex, cross-functional initiatives tied to growth, economics, or user experience.</li><li>Strong strategic and analytical problem-solving skills, with the ability to turn ambiguous challenges into clear hypotheses, metrics, and action plans.</li><li>Comfort building and using financial and operational models to inform prioritisation and investment decisions.</li><li>Proven ability to influence senior stakeholders and align teams without direct authority.</li><li>Experience working closely with Product, Engineering, Analytics, and Finance teams in a product-led environment.</li><li>Excellent written and verbal communication skills, particularly in executive-facing contexts.</li></ul>Desired skills &amp; experience<ul><li>Experience in shipping, logistics, fulfilment, or last-mile delivery within an e-commerce or marketplace context.</li><li>Exposure to pricing, affordability, cost optimisation, or commercial strategy initiatives.</li><li>Experience partnering with external vendors, carriers, or platform partners.</li><li>Experience operating in a global or multi-market environment.</li></ul>Who will thrive in this roleThis role is well suited to someone who is motivated by growth-oriented problems and enjoys operating at the intersection of strategy and execution. You are comfortable navigating ambiguity, making trade-offs with incomplete information, and driving clarity across complex, cross-functional environments. You are energised by building systems and operating models that scale and by seeing your work directly enable the next phase of company growth

Senior Strategy & Operations Manager (Shipping)

Role:At Depop, machine learning is integral to building a safe and trusted marketplace. As a Machine Learning Scientist in the Trust Detection team, you will design and build innovative machine learning systems to detect and prevent harmful or policy-violating content across the platform.  You’ll work on trust, safety, and fraud problems such as phishing prevention, counterfeit detection, and identifying prohibited or restricted listings (e.g. regulated or restricted item categories). The solutions you build will primarily use large language models and deep learning techniques to operate at scale and with high performance.<h2>Responsibilities</h2>You will:<ul><li>Research, design, and deliver machine learning solutions to detect fraud, abuse, and policy violations in user-generated content</li><li>Work closely with Trust, Product, Policy, and Engineering partners to translate business and safety requirements into effective ML systems</li><li>Build, train, and evaluate LLM-based models for text and multimodal classification, detection, and reasoning tasks</li><li>Set up and run large-scale offline experiments and online evaluations to test hypotheses and measure impact</li><li>Stay up to date with research in large language models and modern deep learning, applying new techniques where appropriate</li><li>Participate in team ceremonies including agile rituals, technical design discussions, and roadmap planning</li><li>Clearly communicate technical approaches, results, and trade-offs to both technical and non-technical partners</li></ul><h2>Qualifications</h2><ul><li>Experience working as a Machine Learning Scientist, with a track record of delivering models to solve real-world, production-scale problems</li><li>Strong understanding of machine learning fundamentals, with hands-on experience using frameworks such as PyTorch and modern architectures (e.g. Transformers, large language models)</li><li>Proficiency in Python, with the ability to write production-quality code and a solid understanding of data pipelines, model training, and MLOps practices</li><li>Comfortable working with noisy, weakly-labeled, or imbalanced data typical of trust and safety domains</li><li>Collaborative, pragmatic, and curious teammate, able to work successfully with multi-functional partners</li><li>Passion for learning, experimentation, and knowing the latest with advances in machine learning</li></ul><h2>Bonus points</h2><ul><li>Experience building classification or scoring models for trust, safety, fraud, abuse, or policy enforcement use cases</li><li>Hands-on experience fine-tuning, evaluating, or deploying large language models for real-world applications</li><li>Experience with experiment design, offline evaluation, and online testing (e.g. A/B tests)</li><li>Experience working with Databricks and PySpark</li><li>Experience deploying ML systems on AWS or other cloud platforms (GCP/Azure)</li></ul>

Machine Learning Scientist - Trust Detection

As a Staff Engineer at Depop, you&#39;ll be a technical leader, driving our engineering excellence and solving our most challenging problems. You&#39;ll work in Depop’s iOS Platform team and will collaborate closely with cross-functional teams and leaders in the company, making high-impact decisions that accelerate engineering efforts, define the long-term technical direction for iOS at Depop, and align with our business strategy. Your iOS expertise will not only guide your team but also build followership across the wider engineering community, mentoring others and promoting a culture of high standards and quality.Want to find out more about Depop &amp; our engineering team? Take a look at our blog! We write about technology, people and smart engineering - <a href="https://workable.com/nr?l&#61;https%3A%2F%2Fengineering.depop.com%2F" target="_blank">https://engineering.depop.com</a>/Responsibilities:<ul><li>Contribute high-impact code and design well-documented software that boosts team productivity and ensures scalability.</li><li>Guide technical decisions for both engineering and non-technical stakeholders, preventing costly rework.</li><li>Act as a trusted advisor, mentoring engineers to improve their effectiveness and technical skills.</li><li>Act as a strategic partner to engineering and product leadership, providing a strong viewpoint on the architecture and development processes needed to enable the business to move faster and build more effectively.</li><li>Collaborate across teams and navigate sophisticated situations to foster strong partnerships.</li><li>Proactively identify and tackle ambiguous technical problems that improve team productivity and enhance system reliability.</li><li>Ensure platform health and implement high standards, leading swift incident resolution and minimising major incidents.</li><li>Promote a culture of high standards and accountability, leading by example and inspiring excellence.</li><li>Lead cross-functional initiatives to modernise the iOS app and improve developer velocity, collaborating with other teams to unblock and accelerate key business goals.&#34;</li><li>Drive technical guilds and working groups to share knowledge, build consensus, and deliver on the long-term iOS vision by bringing other engineers along on the journey.</li><li>Leverage deep domain expertise to define and champion the long-term architectural vision for the iOS application, guiding prioritisation in line with business goals and new advancements in the iOS space.</li></ul>Qualifications:<ul><li>Strong communication and collaboration skills with both technical and non-technical teams.</li><li>Proven track record of designing and delivering a long-term technical vision for complex, large-scale mobile applications.</li><li>Proven ability to lead technical decisions and drive projects to completion.</li><li>Experience mentoring and coaching developers at any level.</li><li>Experience identifying and driving solutions for ambiguous and complex technical challenges at scale, demonstrating a clear &#34;been there, done that&#34; perspective.</li></ul>Essential skills:<ul><li>Expert Swift/iOS engineer with deep knowledge of the platform; rigorous testing with XCTest and XCUITest</li><li>Building and maintaining modular mobile frameworks; dependency management with Swift Package Manager</li><li>Deep understanding of MVVM and VIPER; and dependency injection</li><li>Proficient with both UIKit and SwiftUI</li><li>Proficiency in CI/CD and release management process; TestFlight, phased rollouts, feature flags, A/B testing, crash analytics</li><li>App lifecycle, deep links/universal links, push notifications, background execution modes</li><li>Understanding operational and non-functional requirements (such as resilience, performance and observability) and how solutions are implemented and tested)</li></ul>Desirable experience:<ul><li>Design systems and reusable component libraries, design tokens, accessibility</li><li>Experience with tools such as Postman, Charles/Proxyman, Bitrise (or Xcode Cloud/GitHub Actions/CircleCI)</li><li>Comfortable with Agile methods (Scrum/Kanban) and iterative delivery</li><li>Experience working cross teams and cross platform, Android, Web, Backend</li></ul>

Staff iOS Engineer

The People, Culture &amp; Impact team’s mission is to deliver a mission-driven experience that empowers the People of Depop to do their best work. As Depop executes on its growth strategy, the People team is shaping a people strategy which will underpin this growth. The strategy (and the operations that underpin it) will ensure that Depop can grow scalably by building a culture of high performance and excellence, evolving organisational effectiveness and efficiency, and providing meaningful growth for our people. All the while, keeping the ‘uniquely Depop’ employee experience at the centre.As a Strategic People Partner, you will be partnering with Executive Team members and their leadership teams to design and deliver future-focussed people solutions which enable the business to achieve its bold ambition. You will lead delivery of all evergreen people processes, ensuring leaders understand and own their role through manager comms, awareness and training. You’ll also lead strategic people initiatives across the function which evolve and improve the employee experience and ensure we attract, develop and retain talent which will fuel Depop’s growth. Responsibilities:<ul><li>Work with Executive Team members and their leadership teams to translate the Depop strategy and functional plans into people strategies. </li><li>Oversee workforce planning, development, and retention strategies to ensure the business attracts, develops, and retains great talent.</li><li>Deliver evergreen people processes such as performance management, comp review and talent planning, always with an eye on evolving these to better fit our Depop culture and ambition. Work in partnership with the People team at Etsy to ensure Depop’s needs are considered.</li><li>Take a key leadership role in strategic initiatives, mobilising cross functional squads and driving forward projects which bring to life the mission-driven experience.</li><li>Collaborate with the Impact team to ensure Diversity, Equity and Inclusion is fully embedded in people practices, holding the lens of equity and inclusion on everything we do, as well as proposing and delivering specific initiatives.</li><li>Collaborate with the People Experience team to ensure hiring strategies are aligned with business strategy.</li><li>Lead the employment engagement survey for your allocated functions, working with leaders to develop action plans to address feedback. Partner with Internal Comms on the development of an overall employee listening strategy.</li><li>Collaborate with Etsy&#39;s Reward team to ensure our Depop pay philosophy and approach is competitive and aligns with the Depop strategy.</li><li>Identify learning and development needs and explore opportunities to support employees with personal development and career growth. </li><li>Utilise people metrics and analytics to inform strategic decisions, monitor trends, and measure the impact of people initiatives.</li><li>Serve as a point of escalation for leaders and the Employee Relations &amp; Advisory team to navigate and resolve complex workplace issues, ensuring a healthy and productive work environment.</li><li>Lead and support organisational change initiatives, partnering with leaders to ensure smooth transitions.</li></ul>Requirements:<ul><li>Experience partnering with Executives and senior leadership teams to design and deliver people solutions to business challenges.</li><li>Practical understanding of  evergreen people processes such as performance review, compensation review and talent &amp; succession planning and experience in evolving them to meet business needs</li><li>A great grounding in employment law, ER and people policy developed through generalist HR experience.</li><li>Great relationship building and influencing skills, willing to challenge but with the capacity to listen, learn and show humility.</li><li>Exposure to organisational development, learning and development, engagement and talent initiatives.</li></ul>About you:<ul><li>Passionate about being close to, and understanding the business, always looking for opportunities to shape the people agenda to drive business performance. </li><li>Excellent communication, presentation and facilitation skills, with the ability to listen, question and create space for others.</li><li>Collaborative mindset, works flexibly with other teams across the People, Culture &amp; Impact team to ensure seamless support to leaders and their teams.</li><li>Proactive self-starter, driving things forward with light-touch direction: happy to do as well as to direct.</li><li>A team player with low ego; having the backs of teammates and being trusted to do the right thing for Depop.</li></ul>

Strategic People Partner (Marketing & Product)

The People Powered Experience (PPX) team is responsible for differentiating Depop from other marketplaces through our community and driving growth externally through word-of-mouth. As Staff Product Manager, you will be the sole PM in this high-stakes product area, leading the charge from zero-to-one.Your mission is to take differentiating products - like our newly launched Outfits - from early adoption to full product-market fit (PMF) across both in-app community experiences and external word-of-mouth advocacy. Reporting directly to the Product Director, you will act as a strategic pillar within the organization, navigating the intersection of social commerce and technical innovation. You will move with agility, utilizing AI and rapid experimentation to define the future of how our community interacts.Responsibilities:Strategy and Roadmap:<ul><li>Strategic Ownership: Define and own the long-term vision for the PPX space. You are responsible for ensuring the roadmap aligns with Depop’s mission to be the most community-led marketplace in the world.</li><li>High-Velocity Adaptation: Exhibit agility by incorporating learnings into the roadmap in significantly quicker cycles than standard product areas. You must be comfortable pivoting based on rapid feedback loops to reach PMF.</li><li>Dual-Track Growth: Develop strategies that simultaneously drive in-app engagement (People Powered) and external advocacy (Word of Mouth), ensuring a cohesive experience that turns users into brand ambassadors.</li><li>Zero-to-One Mastery: Lead the transition of nascent products from initial launch to a core, scalable part of the business, balancing long-term strategic goals with the immediate need for iteration.</li></ul>Deciding What to Build:<ul><li>Technical Synthesis and Challenge: Demonstrate deep fluency in technical concepts such as ranking, recommendations, and AI-driven curation. You should be able to hold your own in high-level technical discussions, challenging engineering partners to ensure we are building the most effective solutions.</li><li>Navigating Uncertainty: Excel in a high-uncertainty environment, making high-quality decisions with incomplete data and maintaining momentum when the path forward is non-linear.</li><li>Insight Advocacy: Partner with UXR and Data Science to push insights toward the right questions. You don&#39;t just consume research; you direct it to uncover the levers that will truly drive community-led growth.</li></ul>Alignment and Influence:<ul><li>Executive &amp; Broad Stakeholder Management: Align a diverse and senior stakeholder group—including Executive leadership, Marketing, and Influencer teams—on the PPX vision and progress.</li><li>Organizational Influence: As a Staff PM, you will influence the broader Product organization. You will be a key voice in the senior product group, helping to level up our collective product craft and ensuring PPX is integrated into the wider ecosystem.</li><li>External-Internal Bridge: Seamlessly collaborate with the Marketing team to ensure the product roadmap supports and amplifies Word of Mouth and external advocacy efforts.</li><li>Effective Crisis Communication: Lead through &#34;bumps in the road&#34; with composure, ensuring stakeholders stay informed and confident even when experiments don&#39;t go as planned.</li></ul>Requirements:<ul><li>Proven Staff-Level Leadership: Significant experience as a Product Manager, specifically in a &#34;Staff&#34; or &#34;Senior&#34; capacity, with a track record of driving zero-to-one products to PMF.</li><li>Technical Depth: Comfortable with the mechanics of AI-driven curation and discovery. You can talk &#34;ranking&#34; with engineers and &#34;strategy&#34; with leadership.</li><li>High-Stakes Communication: Ability to communicate a compelling vision to everyone from an entry-level engineer to the Executive team.</li><li>Marketplace or Social Fluency: Deep understanding of the mechanics of two-sided marketplaces and the social triggers that drive community engagement.</li><li>Strong Sense of Ownership: You are highly organized and proactive, creating order in high-ambiguity environments and getting satisfaction from delivering high-quality outcomes.</li></ul>Things that would be useful, but are not essential:<ul><li>Experience working in zero to one products</li><li>Experience in a marketplace business, or 2-sided content platform</li><li>Technical background, for example, engineering or machine learning</li><li>A love of fashion, especially if you’re already part of the Depop community</li></ul>

Staff Product Manager (12-month FTC)

<h1>Role</h1>Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop.As a senior member of the team, you will be expected to take ownership of high-impact projects, lead technical direction on core modelling efforts, and mentor others while working across multiple domains and stakeholders.  <h2>Responsibilities</h2>You will:<ul><li>Research, design, and deliver robust machine learning solutions to solve cross-cutting problems within the fashion resale space</li><li>Work with and fine-tune models for representation learning, computer vision, and classification, and lead efforts to productionise and scale them</li><li>Identify and define requirements from multiple stakeholders across the business, and lead the design of general-purpose machine learning solutions that power features like content understanding, moderation, and personalisation</li><li>Set up and conduct large-scale experiments to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability</li><li>Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and help shape the long-term technical strategy for the team</li><li>Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping</li><li>Communicate technical findings clearly and confidently to both technical and non-technical audiences, including senior stakeholders  </li></ul><h2>Qualifications</h2>Skills and Experience<ul><li>Significant experience working as a Machine Learning Scientist, with a proven track record of delivering and scaling models that solve complex, real-world problems</li><li>Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow</li><li>Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles</li><li>Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members</li><li>Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders  </li></ul>Bonus Points<ul><li>Experience with NLP, image classifiers, deep learning, or large language models</li><li>Experience with experiment design and conducting A/B tests</li><li>Experience building shared or platform-style ML systems</li><li>Experience with Databricks and PySpark</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Senior Machine Learning Scientist - Core ML

<h2>Role</h2>Depop is looking for a talented Machine Learning Manager to lead our Core ML team in the UK. In this role, you will lead a team of ML Scientists, building and scaling foundational machine learning models and platforms that power multiple product and marketing use cases across Depop.<h2>Responsibilities</h2>You will:<ul><li>Lead and mentor a team of ML Scientists, setting clear technical direction and fostering an inclusive, experiment-driven culture.</li><li>Partner with Product Managers and other stakeholders to translate cross-functional business needs into an actionable Core ML roadmap that enables product velocity and measurable impact.</li><li>Work closely with MLOps and platform partners to embed best practices and efficient ML workflows, covering CI/CD, feature management, model monitoring, and reliability.</li><li>Collaborate with other ML teams across Depop, sharing models, tooling, and insights, and enabling reuse of foundational capabilities such as embeddings and shared services.</li><li>Stay on the pulse of new research in areas such as multimodal representation learning, computer vision, and NLP, champion responsible AI best practices, and communicate technical insights to both technical and non-technical audiences.</li></ul><h2>Qualifications</h2>Skills and Experience<ul><li>Significant experience working in Machine Learning, delivering models that solve industry-scale problems, with experience leading a team of ML Scientists and/or ML Engineers.</li><li>Strong understanding of modern machine learning techniques</li><li>Proven track record of delivering ML models end-to-end, including data strategy, training, deployment, and monitoring.</li><li>Experience working in cloud-based and MLOps environments, with strong Python skills and hands-on experience using major deep learning frameworks (e.g. PyTorch), with an appreciation for building scalable, reliable ML systems.</li><li>Strong command of experimental design, offline evaluation, and online A/B testing to guide product and platform strategy.</li><li>Excellent collaboration and communication skills, with the ability to translate complex ML concepts clearly for product partners, engineers, and senior stakeholders.</li></ul>Bonus points<ul><li>Experience building shared or platform-style ML systems</li><li>Experience with Databricks and PySpark</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

<h1>Role</h1>Depop is looking for a Staff Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a multi-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop.As a staff-level member of the team, you will be expected to set the technical vision, lead high-impact initiatives, and coach others to drive innovation at scale, while working across multiple domains and partners.<h2>Responsibilities</h2>You will:<ul><li>Own the design, development, and deployment of robust machine learning solutions to solve cross-cutting problems within the fashion resale space</li><li>Work with and fine-tune models for representation learning, computer vision, and classification, and own efforts to productionize, scale, and evolve them as shared systems</li><li>Partner closely with senior stakeholders across the business to define problems, and lead the design of general-purpose, scalable ML solutions that power features like content understanding, moderation, and personalisation</li><li>Lead the end-to-end lifecycle of large-scale experiments, from hypothesis generation through evaluation, to guide model and product improvements, ensuring statistical difficulty and real-world applicability</li><li>Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and chip in technical expertise to long-term product and data strategy</li><li>Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping, setting technical direction and improving for the team</li><li>Communicate technical findings clearly and confidently to both technical and non-technical audiences, including senior stakeholders, and influence decision making</li></ul><h2>Qualifications</h2>Skills and Experience<ul><li>Proven track record of delivering and scaling models that solve complex, real-world problems with measurable business impact</li><li>Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow</li><li>Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles</li><li>Ability to lead the end-to-end lifecycle of ML initiatives, work independently in ambiguous problem spaces, and mentor and grow other scientists and engineers</li><li>Strong collaboration and interpersonal skills, with experience aligning technical approaches with multi-functional teams and stakeholders</li></ul>Bonus Points<ul><li>Experience with NLP, image classifiers, deep learning, or large language models</li><li>Experience with experiment design and conducting A/B tests</li><li>Experience building shared or platform-style ML systems</li><li>Experience with Databricks and PySpark</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Staff Machine Learning Scientist - Core ML

RoleAt Depop, machine learning is integral to delivering a personalised experience for our users. As a Machine Learning Scientist, you will work on building state-of-the-art models to power Depop&#39;s app, serving millions of personalised recommendations to users daily.You’ll work on recommendation problems such as representation learning, cold start users and listings, tuning relevance, diversity &amp; serendipity. The solutions you build will primarily use large volume data and deep learning techniques to deliver recommendation systems that operate at scale with high performance.  ResponsibilitiesYou will:<ul><li>Research, design and deliver machine learning solutions to improve our recommendations</li><li>Work closely with Product, Insights and Engineering partners to deliver value driving improvements to our recommendation systems</li><li>Set up and conduct large-scale experiments to test hypotheses and drive product development</li><li>Stay up to date with research in recommendation systems and modern deep learning, applying new techniques where appropriate</li><li>Participate in team ceremonies including agile rituals, technical design discussions, and roadmap planning</li><li>Clearly communicate technical approaches, results, and trade-offs to both technical and non-technical partners</li></ul>  Qualifications<ul><li>Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problems</li><li>Solid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlow</li><li>Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering &amp; MLOps</li><li>Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders</li><li>Passion for learning new skills and staying up-to-date with ML algorithms</li></ul>  Bonus points<ul><li>Experience working on learning-to-rank, search or recommendation models</li><li>Experience with deep learning &amp; large language models</li><li>Experience with experiment design and conducting A/B tests</li><li>Experience with Databricks and PySpark</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Machine Learning Scientist - Recommendations

<div>Depop’s Trust Detection squad plays a critical role in keeping our global community safe. We build proactive, scalable detection systems that identify harmful content and user behaviour early, enabling fast, fair, and effective moderation at scale. This is a cross-functional squad of Backend and Machine Learning Engineers working closely with Product, Data, Fraud and Trust and Safety partners. The team operates in a rapidly evolving problem space where threats change quickly and systems must continuously adapt. As a Senior Backend Engineer in Trust Detection, you will have a unique opportunity to shape, evolve, and scale our detection capabilities. You will work on systems that are still maturing, influence how we productionise ML, and help establish strong engineering foundations as the domain grows. This role suits engineers who enjoy autonomy, are deeply curious, and thrive in collaborative, ambiguous problem spaces. What you will be doing</div><ul><li>Independently design and deliver backend solutions to medium-to-large problem spaces, from discovery through production and iteration</li><li>Build and evolve core detection services, pipelines, and APIs that operate at scale and under real-world adversarial conditions</li><li>Work hands-on with ML Engineers and ML Scientists to productionise models and improve detection pipelines, monitoring, and iteration loops</li><li>Take end-to-end ownership of your work, including design, implementation, testing, observability, and operational support</li><li>Contribute to shaping technical direction within the team, improving system design, reliability, and developer experience</li><li>Operate in an experiment-led environment, helping define hypotheses, success metrics, and feedback loops</li><li>Collaborate closely with Product, Fraud, Trust and Safety, and other Engineering teams to ensure solutions are well scoped and well understood</li><li>Actively contribute to continuous improvement through retrospectives, post-incident reviews, and technical discussions</li><li>Mentor and support other engineers in the team, raising the overall quality of delivery</li></ul><div> Why this role is exciting</div><ul><li>You will help shape and scale detection systems that are still evolving rather than joining a fully fixed platform</li><li>You will work closely with ML Scientists without needing to be an ML specialist</li><li>You will have real ownership over meaningful problem areas</li><li>You will see direct, measurable impact from your work on the safety of millions of users</li><li>You will join a team that values experimentation, learning, and pragmatic engineering excellence  </li></ul><div>What are we looking for Core requirements</div><ul><li>Strong backend engineering fundamentals with experience independently delivering production systems</li><li>Proficiency in at least one backend language such as Scala, Java, or Python, with the ability to learn new languages quickly</li><li>Experience working with data-intensive systems, including designing, consuming, and evolving data models across services</li><li>Experience building or operating event-driven systems, such as producing and consuming events or messages in distributed architectures</li><li>Experience building scalable and reliable services and APIs</li><li>A strong sense of ownership paired with effective collaboration and communication</li><li>Comfort working in ambiguous problem spaces and proactively shaping solutions</li><li>Solid testing practices across unit and integration levels</li><li>Experience working in a DevOps-oriented environment including CI/CD and production monitoring</li></ul><div> Helpful experience, but we value learning just as much</div><ul><li>Experience running, maintaining, or evolving ML-powered systems in production</li><li>Experience in experiment-led or hypothesis-driven teams with strong data and insights practices</li><li>Prior work in Trust and Safety, fraud, abuse detection, or moderation systems</li><li>Experience in marketplace or eCommerce environments</li><li>Hands-on experience with message brokers or streaming platforms such as Kafka or similar technologies</li><li>Experience with Docker and Kubernetes</li><li>Familiarity with AWS infrastructure and infrastructure-as-code tooling</li></ul>

Senior Backend Engineer - Trust Detection

Job Description<div>We are looking for a Senior Technical Programme Manager to work across a range of high priority, technically sophisticated workstreams in an environment of rapid, iterative experimentation.  As part of an encouraging, lean and hardworking team of Technical Programme Managers, you will be driving cross-functional initiatives, working closely with our brilliant teams in Product, Engineering, Data, Finance, Legal, Marketing &amp; CX  ensuring they are set up for success to deliver impact and that risk and friction is minimised.  This is a fixed term role, with an exciting potential for broad scope and reach as you will be responsible for driving strategic programmes alongside teams and leadership from every part of the business.</div><div>Responsibilities Project &amp; Programme Management: <ul><li>Drive accountability and clarity of priorities across your workstreams to ensure the timely realisation of value by enabling strategic, data-driven, decision-making </li><li>Take a user centric approach, ensuring your workstreams are set-up for success with the most appropriate reporting cadences, touchpoints, tools and approaches</li><li>Collaborate seamlessly and proactively across the company to identify and supervise timelines and dependencies, mitigate risks and issues and build clear lines of communication across teams</li></ul>Strategy &amp; Operations: <ul><li>Guide and support your workstreams through our lightweight quarterly and annual reflections and objective setting processes</li><li>Identify and iteratively improve our lean operational processes, tools and guardrails to enable Product &amp; Engineering to efficiently collaborate, plan and deliver</li><li>Craft and share high quality communications that succinctly deliver key messages to broad audiences including senior executives</li><li>Help leadership align priorities across the organisation to build more significant impact and ensure clarity of focus for teams in your workstreams</li></ul> Advancement of Depop’s agile/lean practises: <ul><li>Facilitate, mentor and share findings to empower teams to iteratively improve their ways of working and delivery </li><li>Contribute to the Internal Ops Community of Practice where we share insights, reflections, approaches, and takeaways</li></ul></div><div>Requirements<ul><li>You have considerable technical programme management experience, with a consistent track record in leading sophisticated technical workstreams, ensuring alignment and resolving dependencies and conflicts swiftly and amicably </li><li>You have excellent stakeholder management, influencing and relationship building skills, which you used to ensure visibility and collaboration across technical and functional boundaries</li><li>You have outstanding communication skills, and can tailor your message to suit your audience’s needs (who may or may not be technical), using emotional intelligence and active listening to read situations quickly</li><li>You’re adept at driving accountability, and have strong command skills, you’re not afraid to take challenging stances with senior stakeholders</li><li>Your user and business value driven, with hands on experience collaboratively scoping, kicking off and delivering programmes, articulating what success looks like, why it looks like that and how to measure it</li><li>You are adept at working in ambiguity and can identify, surface and resolve risks and uncertainty</li><li>You’re highly organised and proactive and able to use your understanding of agile/lean tools and techniques to problem-solve and optimise cross-functional systems and processes</li><li>Approachable with sophisticated skills in facilitation, mentor and mediation, you’ll have a highly developed ability for working with others and crafting the space for strategic and timely decision-making</li><li>You have a growth mindset and actively seek and give feedback as well as ways to share findings with your peers</li><li>You have high technical and product literacy, you’re able to keep up with technical discussions in support of the overall project outcomes</li></ul>Nice to have<ul><li>Experience working in a fast paced, product scale up environment or as a consultant </li><li>You’re an innovative thinker, with an instinct for spotting opportunities and synergies </li></ul></div>

Senior Technical Programme Manager (12 month FTC)

What’s the role?This is a fantastic opportunity for a hardworking, practical, and commercially minded lawyer to join the Depop Legal team. You will be instrumental in supporting Depop’s ambitious growth strategy in the US market, acting as a key legal partner to our marketing and product teams. We’re looking for a lawyer who is adaptable and able to drive change management in a business that is growing quickly in the US amid a rapidly changing regulatory environment. What’s the team like?As part of the Depop Legal team, you will report to the Head of Legal at Depop, who in turn reports to a senior leader in the Etsy Legal team and will benefit from being part of the wider Etsy Legal organization since Etsy’s acquisition of Depop in 2021. You will be closely embedded with the Etsy legal team as well as Depop’s teams based in Brooklyn out of the same office. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our <a href="https://storage.googleapis.com/etsy-extfiles-prod/Benefits%20One%20Pagers%20-%20Employer%20Brand/ETSY2023BENEFITSLANDINGPAGE.pdf" target="_blank">competitive benefits</a> that support you and your family as part of your total rewards package.What does the day-to-day look like?<ul><li>Work with product and marketing teams at Depop as they design groundbreaking products and tools, balancing commercial, marketing (both online and offline), compliance and privacy concerns.</li><li>Advise and identify risks to marketing and creative teams as they promote and design exciting strategies, campaigns, and experiments.</li><li>Balance commercial, marketing, compliance and privacy concerns, including advertising campaigns (US and internationally) with social media reviews, and consumer and business insights.</li><li>Evaluate risks and opportunities related to a company’s media assets and priorities, including global and domestic marketing campaigns, influencer and affiliate programs, Above the Line (TV, radio and Out of Home), talent and SAG-AFTRA concerns, UGC, content clearance and production, technology partnerships, merchandise vetting, music licensing, and content distribution.</li><li>Provide expert legal counsel on a wide range of US product-related matters, including product strategy, operations, and expansion, with a focus on product counseling.</li><li>Counsel Depop’s business, product, engineering, and marketing teams on the application of US consumer protection laws, regulatory matters, privacy, and marketing regulations.</li><li>Collaborate closely with product managers, engineers, designers, and other stakeholders to identify, evaluate, and mitigate legal risks in the development and launch of new products and features.</li><li>Review and negotiate a wide range of general commercial agreements as needed, including marketing agreements in support of US operations.</li><li>Contribute to the review and improvement of legal team processes, templates, and guidance to drive efficiencies in US compliance.</li><li>Assist in managing responses to US regulatory inquiries, investigations, and litigation related to product and compliance issues.</li><li>Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy&#39;s discretion, or otherwise applicable with local law.</li></ul>Qualities that will help you thrive in this role are:<ul><li>JD and admitted to a state bar (preferably NY or CA) and qualified to work in-house in New York.</li><li>6&#43; years experience, ideally at both a law firm and in-house, dealing with issues related to consumer protection, marketing, product development, and US regulatory compliance for tech and e-commerce companies.</li><li>Prior experience with online marketplaces, social media platforms, or high-growth technology businesses is highly desirable.</li><li>Must be able to work autonomously and effectively prioritize an ongoing list of tasks with a solutions-driven approach.</li><li>Excellent business, negotiation, and communication skills, with the ability to communicate complex legal advice clearly and commercially to the business.</li><li>Executive presence and passionate about clearly articulating risk and strategies to mitigate risk to clients and executives.</li><li>Ability to attend the Brooklyn Office once or twice per week.</li></ul>

Senior Counsel, Marketing & Product

We are seeking an experienced Training Specialist to join our Community Experience team. As part of our Operational Excellence team, you will work alongside our existing training team to enhance and scale our training programs, supporting both our in-house teams and outsourced partners.This is an exciting opportunity to make a significant impact on our customer experience operations, working with a team of approximately 50 in-house staff and supporting our extensive outsourced partnerships. You&#39;ll be instrumental in evolving our training programs to meet the needs of our growing business while maintaining the high standards our community expects.What You&#39;ll Do<ul><li>Design, implement and deliver comprehensive training programs for new hires and existing team members</li><li>Create engaging content and deliver training for product updates, operational changes, and quality improvement initiatives</li><li>Partner with our Quality and Leadership teams to develop and deliver targeted training interventions based on QA insights and performance metrics</li><li>Collaborate with our Product team to create and deliver training for new features and functionality</li><li>Work closely with our outsourced partners to enhance their training capabilities through effective train-the-trainer programs</li><li>Evaluate training effectiveness and measure impact on key metrics including user satisfaction</li><li>Identify opportunities for training program optimization and scalability</li><li>Support the continuous professional development of our Community Experience team</li></ul>About YouEssential Experience and Skills<ul><li>Demonstrated ability in training delivery within a customer service environment</li><li>Proven track record of designing and implementing successful training programs</li><li>Experience in managing and improving outsourced training partnerships</li><li>Strong track record of delivering effective remote training</li><li>Excellent communication and presentation skills</li><li>Ability to translate complex information into engaging training materials</li><li>Experience in measuring and reporting on training effectiveness</li><li>Strong project management and organizational skills</li><li>Proficiency with customer service platforms (e.g., Zendesk)</li></ul>Preferred Experience and Skills<ul><li>Experience with implementing learning management systems or other training tools</li><li>Background in fashion, e-commerce, or marketplace businesses</li><li>Experience in scaling training programs in high-growth environments</li><li>Knowledge of adult learning principles and various training methodologies</li><li>Experience with data analysis and using metrics to drive improvements</li></ul>Key Logistics<ul><li>This is a hybrid role requiring a minimum of 4 days per month in the  London HQ, plus specific days required for training and onboarding delivery as needed</li><li>Core hours are 9:30am-6:00pm, with flexibility required for training delivery</li><li>You&#39;ll report to our Continuous Improvement Manager within the Operational Excellence team</li></ul>

Training Specialist

The RoleWe’re looking for a purpose-driven and action-oriented Sustainability Lead to drive sustainability at Depop - embedding circular principles across our operations, storytelling, and decision-making.As part of Etsy’s central Impact team, you’ll bring consistency, rigor, and accountability to how we scale our environmental impact - while tailoring your approach to the unique culture and business needs of Depop. You’ll work closely with cross-functional leaders in Product, Marketing, Legal, Workplace, and Internal Ops to ensure our circular mission is reflected in how we operate every day.This is a unique role for someone passionate about enabling both vision and execution - translating group-wide ESG standards into local impact, and helping a circular fashion marketplace lead with integrity.Key ResponsibilitiesSustainability Strategy &amp; Enablement:<ul><li>Own Depop’s circularity roadmap, defining the strategy and overseeing the delivery of programs, communications and advocacy </li><li>Lead the integration of Etsy’s group-level sustainability strategy into Depop’s planning, operations, and cross-functional goals</li><li>Collaborate with Internal Operations to ensure sustainability is embedded in delivery rhythms, tooling, and vendor processes</li><li>Identify opportunities for Depop to go further, faster — surfacing initiatives that drive long-term value through reputation, advocacy and brand awareness  </li></ul>Strategic Partnerships &amp; Innovation:<ul><li>Identify, evaluate and manage relationships with third-party vendors, NGOs, and partners that support our sustainability ambitions</li><li>Help design scalable programs and pilots that push innovation in resale, responsible consumption, and community-based sustainability  </li></ul>Cross-Functional Advisory:<ul><li>Act as subject matter expert for Depop teams across Product, Marketing, Legal, and Customer Experience — guiding them on how and when to embed sustainability in features, communications, campaigns, and community engagement</li><li>Partner with the Internal Ops and Workplace teams to inform sustainable workplace and supplier practices</li></ul><h3></h3>Experience &amp; Knowledge<ul><li>Extensive experience in corporate sustainability, ESG, or circular economy (experience within fashion, resale, or tech is a plus)</li><li>Experience developing and delivering impact programs in collaboration with internal stakeholders and external organisations  </li></ul>Skills &amp; Strengths<ul><li>Strategic thinker with strong execution skills - comfortable moving between systems-level thinking and detailed program delivery</li><li>Excellent communicator, able to translate complex sustainability concepts into actionable insights for non-technical audiences</li><li>Skilled stakeholder manager, confident collaborating across legal, technical, creative and executive teams  </li></ul>Mindset<ul><li>Passionate about building a more circular, transparent, and equitable future</li><li>Proactive, pragmatic, and low-ego — able to work in a fast-paced, matrixed environment</li><li>Values integrity, humility, and continuous learning</li></ul>

Sustainability Lead (14 month FTC)

We’re looking for a Senior Design Manager (Head of Design) to lead design across Depop’s Demand pillar — the part of the product that helps buyers discover, fall in love with, and ultimately purchase items on Depop.In this role, you’ll lead design across multiple product teams, shaping strategy, setting direction, and creating the conditions for designers to do their best work. You’ll work closely with Product, Engineering, Research, and Brand to ensure we’re solving the right problems, delivering high-quality experiences, and driving meaningful outcomes for both users and the business.This is a senior leadership role focused on scaling design impact — through people, systems, and strong cross-functional partnership — rather than being the sole hands-on driver.Depop is HQ&#39;ed in London, and we are open to remote candidates in the UK.Responsibilities:<ul><li>Lead, support, and develop a team of designers (and potentially design managers) working across multiple squads within the Demand pillar, creating clear growth paths and supporting progression, learning, and wellbeing.</li><li>Set a clear design vision and strategy for Demand, aligned with Depop’s company goals and brand, and translate it into actionable direction for teams.</li><li>Be a strong advocate for our users, building empathy across Depop and ensuring user needs are central to product and design decisions.</li><li>Partner closely with Product and Engineering leadership to prioritise work, embed discovery-led development, and drive measurable outcomes.</li><li>Foster a culture of discovery, experimentation, and continuous learning, with a strong focus on outcomes and understanding the impact of product changes.</li><li>Establish and evolve ways of working that improve quality, consistency, and delivery across teams.</li><li>Champion high standards of design craft, accessibility, and inclusivity, ensuring we’re building a world-class design practice.</li><li>Lead and evolve Depop’s design system  system strategy, working closely with Engineering to ensure strong adoption and integration into our codebase.</li><li>Collaborate closely with Brand to bring product design and brand design closer together, translating Depop’s brand into cohesive product experiences.</li><li>Ensure Depop’s iOS and Android apps and Depop.com deliver a great, consistent user experience, aligned with platform standards where appropriate.</li><li>Build strong relationships with cross-functional partners and stakeholders, influencing decisions at pillar and cross-company level.</li><li>Provide clear, confident leadership and communication, bringing teams and stakeholders along when explaining design decisions and creative solutions.</li></ul>This role might be right for you if you have the following experience;<ul><li>Have significant experience leading and developing design teams (typically 4&#43; designers and/or managers) within a product-led organisation, operating across multiple teams or problem spaces.</li><li>Are a strong people manager who genuinely enjoys coaching, mentoring, and crafting designers’ careers, creating clear growth paths and helping individuals do the best work of their careers.</li><li>Are comfortable setting strategy in complex or ambiguous environments and turning it into clear direction, priorities, and outcomes for teams.</li><li>Can balance big-picture thinking with being close enough to the detail to ensure high standards — bringing the right mix of strategy and hands-on involvement for a high-growth environment.</li><li>Have a strong track record of using user research, experimentation, and measurable outcomes to guide design decisions in a continuous delivery environment.</li><li>Bring credibility in design craft and quality, with demonstrable experience shaping and scaling a design system in close partnership with Engineering and Brand.</li><li>Excel as a cross-functional partner, with strong stakeholder management skills and the ability to influence and align Product, Engineering, and other leaders.</li><li>Have excellent communication and storytelling skills, using them to build buy-in, motivate teams, and bring stakeholders along on the journey.</li><li>Are adept at implementing effective product design frameworks and cross-functional ways of working that enable autonomous, high-performing teams.</li><li>Can balance big-picture thinking with enough closeness to the work to ensure high standards and relevance in a fast-moving environment.</li><li>Have experience working on consumer products, growth, or marketplace problems (experience in fashion or two-sided marketplaces is a bonus, but not required).</li></ul>