Listing Hero Image

Job search

Listing footer

Read about it on the homepage

Want to learn more about life at Depop?

Available Jobs | Depop.

Vacancies | Depop Careers

Recruitment and Communications practices

Search results

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

We are looking for an experienced MLOps Manager to lead our growing MLOps function. You’ll manage a team of 8 engineers and specialists, set the strategic direction for how machine learning is developed, deployed, and scaled across Depop, and ensure we are delivering robust, secure, and scalable ML infrastructure.Our MLOps stack is modern, cloud-native, and carries very little tech debt, giving us the freedom to focus on building rather than firefighting. This role comes with a wide span of control and genuine strategic agency — you’ll be shaping the direction of how machine learning is built, deployed, and scaled across the business. Because Depop is deeply ML-driven, this position isn’t just about keeping the lights on; it’s central to how we deliver value to our users and to the business. You’ll be empowered to set best practices, influence architectural decisions, and ensure that our teams can move quickly while maintaining trust, reliability, and impact.This role combines technical leadership, vendor management, and strategic oversight, and will require you to work closely with engineering, product, and data leadership to ensure machine learning drives real impact for Depop and our community.Key Responsibilities<ul><li>Team Leadership: Lead, coach, and develop a team of 8 MLOps engineers, fostering a culture of high performance, collaboration, and growth.</li><li>Technical Leadership &amp; Decision-Making: Provide guidance on architecture, tooling, and best practices for ML pipelines, model deployment, monitoring, and incident management.</li><li>Collaboration with Applied ML Org: Partner closely with machine learning scientists, ML management, and cross-functional teams across the organisation to ensure MLOps solutions are aligned with scientific innovation, business priorities, and operational needs.</li><li>Strategic Direction: Define and deliver the MLOps strategy, aligning with Depop’s broader Data and Engineering roadmap.</li><li>Vendor Management: Oversee operational relationships with external vendors, ensuring service quality, cost-effectiveness, and alignment with team needs. Collaborate ​​with Vendor Managers on contract negotiations, renewals, and vendor evaluations to ensure optimal long-term partnerships.</li><li>Leadership Reporting: Provide clear, concise updates on progress, risks, and priorities in fortnightly leadership updates.</li><li>Incident Oversight: Act as an escalation point for ML/infra incidents, ensuring rapid resolution and learnings captured.</li><li>Cross-Org Collaboration: Engage proactively with the Data org (data science, data engineering, analytics) to ensure MLOps solutions meet evolving business needs.  </li></ul>Requirements<ul><li>Proven experience leading an MLOps, ML Engineering, or Platform Engineering team.</li><li>Deep-rooted enthusiasm for Platform disciplines</li><li>A background in Applied Machine Learning</li><li>Hands-on experience with cloud platforms (AWS, GCP, or Azure), including provisioning and managing ML infrastructure at scale.</li><li>Strong understanding of GPU computing for training and serving ML models.</li><li>Experience designing and managing containerised ML workloads (Docker, Kubernetes, Kubeflow, or similar orchestration frameworks), and integrating with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).</li><li>Familiarity with distributed data processing and ML training frameworks (e.g., Spark, Ray, TensorFlow Distributed, or PyTorch Distributed).</li><li>Solid grasp of monitoring, logging, and observability for large-scale ML systems.</li><li>Knowledge of cost optimisation strategies for compute- and GPU-intensive workloads in cloud environments.</li><li>Excellent people leadership skills, with experience managing and developing engineering teams.</li><li>Demonstrated ability to set strategy and drive execution in a fast-paced environment. Strong communication skills, with the ability to provide clear updates to technical and non-technical audiences.</li><li>Proactive, collaborative, and comfortable engaging across multiple disciplines.  </li></ul>Nice to haves<ul><li>Experience managing vendors, contracts, and budgets.</li><li>Experience with Databricks, Tecton (or Feast), Seldon, SageMaker</li></ul>

MLOps Engineering Manager

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

Job DescriptionDepop is looking for an experienced Senior 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 Senior Backend Engineer within this team, you can expect to:<ul><li>Work closely with Engineering Managers, Product Managers, Product Designers, 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 on a daily basis with fellow engineers in the cross functional environment to solve problems and write code</li><li>Mentor and coach your colleagues</li><li>Own your code, workflows and, data through their entire lifecycle  </li></ul>Desired experience:<ul><li>Writing high quality code in Typescript, Scala, Java, or another JVM language</li><li>Relational databases, ideally Postgres</li><li>NoSql datastores (e.g. 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>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>Strong technical and non-technical communication skills</li><li>Proficient in testing solutions at different levels — unit and integration —</li><li>Experience with relational or non-relational databases, preferably PostgreSQL and DynamoDB </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

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

<h1>Job Description</h1>We are looking for an experienced, hands-on IT manager to lead Depop&#39;s IT team. The team is focused on delivering and managing the tools, solutions, and support that drive productivity, efficiency, and a great user experience for all Depop employees across the UK and US.As a manager, you will be responsible for the success, wellbeing, and effectiveness of our team of IT professionals, and ensuring the seamless delivery of our IT systems and services. You will play a key role in overseeing and enhancing Depop&#39;s information technology systems, creating and executing on a roadmap, and  driving strategic initiatives to support the company&#39;s growth and innovation. This role will report to the Director of Engineering.The ideal candidate will be capable of leading and working alongside a multidisciplinary IT team, and will bring experience in: help desk support, audio-visual management, systems administration, networking, workflow automation, software-as-a-service (SaaS) management, identity and access management, and regulatory compliance. You&#39;ll partner with people across the business, and our Engineering, People, and Workplace teams in particular.We&#39;re looking for someone who shares a passion for embracing change, coaching and mentoring others, and helping the team to do the great work they do each and everyday to help us all get stuff done.<h1>Responsibilities</h1><ul><li>Lead and inspire a team of IT professionals, fostering a collaborative and high-performance working environment.</li><li>Provide mentorship and guidance to team members, promoting their professional development.</li><li>Oversee the design, implementation, and maintenance of the company&#39;s IT infrastructure and software systems.</li><li>Ensure the reliability, security, and scalability of all IT systems, office networks and infrastructure.</li><li>Collaborate with Engineering leadership and business partners to design and deliver IT strategies aligned with the company&#39;s business objectives.</li><li>Identify opportunities for technology innovation and improvements to enhance overall staff productivity and cost efficiencies.</li><li>Manage and coordinate IT projects, ensuring timely delivery within budget, thoughtful change management, and stakeholder communications.</li><li>Work closely with the Security team to implement IT security policies and procedures.</li><li>Evaluate and manage relationships with IT vendors and service providers, and work with the IT Operations and Vendor Management team to negotiate contracts, monitor service levels, and manage budget.</li><li>Build and maintain strong relationships with cross-functional teams to foster collaboration and delivery of shared projects and objectives.</li></ul><h1>Qualifications</h1><ul><li>Previous experience in leading an IT team, preferably in a startup or high-growth environment.</li><li>Familiarity with managing and supporting a variety of operating systems and devices (we use macOS and Jamf), access control systems (we use Okta), and people information systems (we use Workday)</li><li>Technical expertise in support, infrastructure, systems administration, and networking, with a heavy emphasis on customer service with the ability to empathise and communicate effectively with end-users.</li><li>Strong analytical and problem-solving skills to diagnose and resolve technical issues efficiently, and develop and implement strategies to reduce recurring issues.</li><li>Knowledge of security best practices and maintaining compliance controls</li><li>Experience capturing metrics and key performance indicators, identify trends, and making data-driven decisions</li><li>Demonstrated success in overseeing and managing IT teams, projects, and budgets.</li><li>Great communication and interpersonal skills, and the ability to communicate complex technical information to non-technical stakeholders.</li></ul>

IT Manager

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

The JobWe’re looking for a strategic and hands-on Affiliate Marketing Manager to take ownership of our affiliate program and shape the channel strategy, helping to scale it into a key growth driver for the business. In this role, you’ll partner closely with the Senior Paid Media Manager to develop and execute an ambitious affiliate strategy that supports overall business KPIs. You’ll lead the planning, execution, and optimisation of affiliate campaigns, managing publisher relationships, identifying new growth opportunities, and ensuring every initiative delivers measurable value and efficiency.Day to day, you’ll oversee performance across partners, budgets, and promotions, using data-driven insights to refine and optimise activity. You’ll play a key role in testing and innovation, collaborating with our in-house marketing and merchandising teams to amplify our reach and engagement holistically across multiple markets.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, and this role has the opportunity to further embed the Affiliates channel at every stage. The ideal candidate will have 4&#43; years of experience managing affiliate programs, ideally in a retail or e-commerce environment, with proven success scaling international programs across markets like the US and Australia. You’ll bring an analytical mind, attention to detail, and a proactive mindset, be someone who thrives in fast-paced, growing environments and is excited to help shape the future of our performance marketing mix.Responsibilities<ul><li>Develop and own the Affiliate marketing strategy, working closely with the Senior Paid Media Manager with the goal to scale the channel and support business-level KPIs focusing on both Revenue growth and User Acquisition</li><li>Ownership of publisher relationships in partnership with our Affiliate Network, Rakuten, to drive purchases and registrations within our efficiency goals</li><li>Build, manage, and nurture relationships with affiliates, publishers, and partners across the US, UK and Australian markets</li><li>Identify, onboard, and optimise new affiliates to diversify the affiliate portfolio</li><li>Provide regular reporting of campaign and publisher performance, ensuring analysis is translated into actionable strategies</li><li>Identify opportunities to scale the channel further, collaborating with wider marketing teams to achieve departmental and business level objectives</li><li>Ownership of testing roadmap with a focus on creative, commission structures and publisher mix ratios </li><li>Contribute to creative briefs with an affiliate-first perspective </li></ul>Requirements<ul><li>Hands-on experience managing an affiliate program, agency or in-house, with retail/e-commerce exposure</li><li>Proficiency in affiliate marketing platforms and tools (Rakuten preferred but not required)</li><li>Previous experience of working to grow international programs, particularly the US and Australia</li><li>Highly organised, with the ability to manage multiple streams of work simultaneously</li><li>Good attention to detail and process building to ensure excellent management of publisher relations and cross-functional campaigns</li><li>Previous experience on App business working with an MMP and knowledge of app-first user journeys </li><li>Familiarity with complex attribution and LTV models</li><li>Ability to confidently and effectively communicate across varying levels of seniority cross functionally</li><li>Proactive and eager to learn attitude, loves a challenge and has the capacity for independent thinking</li><li>Experience working closely with PR and Influencer teams on collaborative strategies</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>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 Affiliates</li><li>Affinity for Depop and the resale world</li></ul>

Affiliate Marketing Manager

Role:As a Senior iOS engineer at Depop you’ll work in one of our Product teams to add new functionality as well as improve existing features through a data driven A/B testing workflow. You will be working in Swift, alongside Backend and other iOS Engineers, leveraging our Mobile Continuous Integration pipeline, with Unit and Integration Testing built in, to iterate our iOS application used by millions of users.You will work in a small multidisciplinary product team that is supported by a much wider community of Depop iOS developers, insights teams, product managers and platform engineers.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>Support the team to deliver weekly features/upgrades.</li><li>Take full ownership of the components the team ships to the iOS app. Monitor and resolve issues.</li><li>Support the A/B testing workflow and collaborate with the insights team to ensure high quality.</li><li>Work closely with the design, product management and backend teams to ensure that new features are implemented efficiently and effectively.</li><li>Refactor existing code to leverage the latest developments in the iOS framework.</li><li>Communicate any engineering challenges faced when supporting a wide range of devices.  </li></ul>Qualifications:<ul><li>Commercial experience using Swift or Objective-C, with real exposure to different platforms and OS versions.</li><li>Experience working within a Mobile Continuous Integration framework.</li><li>Experience with Unit (XCTest) and Integration Testing.</li><li>Experience in consuming a RESTful API.</li><li>Prior experience mentoring junior developers  </li></ul>Desirable: <ul><li>Experience with the VIPER architecture.</li><li>Experience with A/B testing and solving complex experiments</li></ul>

Senior iOS Engineer

The RoleWe&#39;re looking for a Continuous Improvement Manager to lead our continuous improvement function within our Community Experience organisation for a 12-month maternity cover. This role is perfect for someone who loves turning complex problems into simple solutions and has the leadership skills to bring teams along on the journey. This is an exciting time to join as we&#39;re in the middle of significant operational transformation that will shape how we support our community for years to come.You&#39;ll be taking the reins of an established team of talented people across process improvement, training, and product operations. Reporting to the Head of Operational Excellence, you&#39;ll drive improvements that directly impact Depop users worldwide.This is a hybrid role with a minimum requirement of 4 days per month in our London office, though we&#39;d love to see you more often as we build strong collaborative relationships across teams.Key Responsibilities:Leading Strategic Change<ul><li>Own and deliver a continuous improvement roadmap, taking initiatives from discovery through to delivery with clear benefit tracking and measurement</li><li>Lead the team through implementation of key strategic initiatives that will transform our operational capabilities</li><li>Partner with teams across the business, such as Product and Engineering, to ensure smooth adoption of new processes and technologies</li></ul>Data-Driven Improvement<ul><li>Use data from our Customer Satisfaction (CSAT) surveys and operational metrics to identify and prioritise improvement opportunities, both internally and with our Product teams</li><li>Create dashboard views of service topics to diagnose user pain points and track the impact of improvements</li></ul>Process Excellence<ul><li>Review and optimise user-facing processes to deliver more efficient resolutions</li><li>Work with internal teams and our outsourced partners to ensure consistency and quality across all touchpoints</li><li>Streamline customer-facing communications and develop clear guidelines for maintaining quality</li><li>Maintain and improve high-quality training programmes</li></ul>Team Leadership<ul><li>Lead and develop a team of continuous improvement professionals</li><li>Provide guidance on improvement methodologies and change management approaches</li><li>Ensure clear communication of changes across all levels of the Customer Experience organisation</li></ul>Cross-functional Collaboration<ul><li>Partner closely with our CX Technology team to optimise Zendesk and other tools</li><li>Lead and participate in cross-functional meetings to drive vital organisational projects forward</li><li>Work with Product, Engineering, and other teams to solve complex user problems and fix recurring issues</li></ul>What We&#39;re Looking For:<ul><li>Proven experience leading continuous improvement initiatives in a customer service or operations environment</li><li>Strong people management experience with the ability to lead and develop a team</li><li>Experience managing complex projects across multiple stakeholders</li><li>Data-driven mindset with the ability to translate insights into actionable improvements</li><li>Excellent communication skills - you can explain complex changes simply and get buy-in at all levels</li><li>Comfortable with ambiguity and able to maintain momentum during periods of change</li></ul>Bonus:<ul><li>Experience in a marketplace, e-commerce, or tech company</li><li>Experience with Lean, Six Sigma, or similar improvement methodologies</li><li>Background in implementing new technologies or operational capabilities</li><li>Experience working with outsourced operations teams</li><li>Knowledge of Zendesk or similar customer service platforms</li><li>Understanding of AI and automation in customer service contexts</li></ul>

Community Support, Continuous Improvement Manager (12 Month FTC)

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

Depop Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable, affordable secondhand fashion. Together with its community of approximately 43.5 million registered users, Depop is on a mission to make fashion circular - encouraging more people to choose secondhand and extend the lives of their clothes, redefining fashion consumption. Founded in 2011, Depop is headquartered in London, with an office in New York, and has a team of approximately 400 employees. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com. 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

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

We’re looking for a Senior 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 DoLead analytics and technical discovery for a core product area:Partner with product managers, engineers, and ML scientists to explore opportunities through advanced analytics. You&#39;ll apply analytical methods (e.g. statistical methods) and work with ML practitioners to assess algorithmic impact, define success metrics, and shape product direction with a strong technical foundation.Influence Product And Business StrategyProvide a strategic lens to product thinking—connecting your domain insights and helping the product team ladder up to company-wide goals. Be a thought partner and challenge assumptions, raise the quality of decision-making, and help drive a culture of evidence-based thinking.Design And Run ExperimentsDefine hypotheses, implement A/B tests, and rigorously evaluate impact with deep dives and customer behaviour insights to inform roll out decisions and future product development.Work together with other teams to enable self-serve data driven decision making:Collaborate 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>Proficiency in Python, with experience in advanced analytics techniques, analyzing model outputs or supporting ML evaluation workflows</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 Points<ul><li>Experience in C2C marketplaces or mobile-first consumer products</li><li>Experience working alongside machine learning teams or embedding data science in ML-powered product discover</li></ul>

Senior Product Data Scientist

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

We’re currently hiring for a Product Manager to work in the Inventory initiative team. This team&#39;s vision is to make Depop the easiest place to turn items into shoppable inventory - in our mission to make fashion circular.This product team works to build experiences that help sellers of all shapes and sizes succeed on Depop, and meet sellers where they operate and manage their businesses. Your team will own AI-enabled experiences that are exciting, differentiating and loved by our users. You will report to the Staff Product Manager who leads the Inventory initiative, as part of the wider Supply product org.ResponsibilitiesVision, strategy and roadmap:<ul><li>Define and drive the iOS Listing product vision, as it relates to the wider Inventory and Supply product strategy.</li></ul>And also<ul><li>the ability to fail fast and learn faster through mobile development.</li><li>Work with squad leadership to ensure solutions are simple, intuitive, and mobile-optimised</li><li>Robust technical understanding: You have a good understanding of iOS development,</li><li>Great leadership and sense of ownership: You own the sellers listing experience,</li></ul>Deciding what to build: <ul><li>Working with product squad leadership (designer, engineering manager) to prioritise features that deliver the highest impact against quarterly objectives, the wider Inventory and Supply strategy, within constraint of the teams’ resources. </li><li>Combine user research, rigorous data exploration and technical guidance to make informed decisions about the vital few worth building, what to not pursue and when to adjust focus where necessary. You iterate on hypotheses and solutions as you learn. </li><li>Scope and effectively prioritise new features to ensure the right balance between effort and impact.</li><li>Have a point of view on what seller features and tools belong on web vs. app vs. any other channel, based on the type of sellers who use it, the types of problems we are solving, and the inherent strengths of web-based vs. app-based experiences.</li></ul>Product Execution: <ul><li><div><div><div><div><div><div><div><div><div><div><div>Work with squad leadership to ensure solutions are simple, intuitive, and mobile-optimised</div></div></div></div></div></div></div></div></div></div></div></li><li>Working with the engineering team to ensure features are built to specifications, championing quality and product excellence. </li><li>Leverage experimentation when appropriate to test and learn against hypotheses, capitalising on the ability to fail fast and learn faster through web development. </li><li>Recognising obstacles to the team, and making sure they are escalated or resolved before they impact delivery. Keeping effort vs value at the forefront of your decision making. </li></ul>Keeping everyone aligned and informed:<ul><li>Aligning with the Staff Product Manager and the functional leadership on the priorities and strategic goals of the wider product area.</li><li>Motivating the team and giving them the context they need to reach their potential.</li><li>Identifying and leveraging the expertise of key functional stakeholders (e.g. Engineering, Design, Product Marketing) and other product squads to help shape and execute on the vision for your area and fully understanding the opportunities, potential solutions, and constraints. </li><li>Motivating the team and giving them the context they need to reach their potential. </li><li>Creating and fostering a team culture that keeps people engaged and focused.</li></ul>Requirements:<ul><li>Experience working on mobile app/web products: demonstrated experience in product execution and mobile experience delivery. You have led an engineering team to build out digital features and experiences in an agile, iterative way. </li><li>Robust technical understanding: You have a good understanding of web/app development, and are able to challenge engineers on their assumptions and have productive conversations about size and scope of web features. </li><li>Great leadership and sense of ownership: You own the web sellers experience, and make decisions that steer the team and the product in the right direction, against our overall company and sellers strategy. </li><li>Collaborative, excellent communication skills and executive presence: Inventory is at the core of our company differentiation - you will need to build relationships with senior stakeholders across product, strategy and operations, and engineering. </li><li>Strategic and commercial acumen: you must be able to balance commercial and user requirements when prioritising features the team is building. </li><li>Strong accountability and ownership: you create order in the world around you and get huge satisfaction from delivering the highest quality features.</li><li>Previous experience as a Product Manager/Product Owner in an agile environment</li><li>Experience working with experimentation and A/B testing. </li><li>Experience working with AI products, Gen AI and LLMs preferred.</li></ul>

Product Manager, Inventory Initiative (12-Month FTC)

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)

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

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