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

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

Senior Machine Learning Scientist - Search

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

Staff Backend Engineer - Data Platform

<h2>Role</h2>Depop is looking for a dedicated Machine Learning Engineer to join our new Core ML team in the UK. You will work alongside ML Scientists, Backend Engineers, and MLOps to build, deploy, maintain, and monitor machine learning infrastructure, such as product matching pipelines, image embedding services, and lightweight classifier deployments, that support multiple product and marketing use cases across Depop.<h2>Responsibilities</h2>You will:<ul><li>Design and implement pipelines for training, deploying, and monitoring real-time and batch ML models</li><li>Work closely with ML Scientists to productionise models and improve reliability, latency, and observability</li><li>Partner with backend and product teams across Depop to define integration requirements and coordinate deployments of shared ML components</li><li>Help design and extend the ML platform at Depop in collaboration with the MLOps team, across areas such as:<ul><li>Robust prototyping and training workflows</li><li>CI/CD for model deployment</li><li>Real-time and batch model serving</li><li>Online/offline feature consistency via our feature store</li><li>Monitoring and alerting</li></ul></li><li>Hold high standards for operational excellence, including testing, monitoring, maintainability, and incident response</li><li>Contribute to a strong ML engineering culture focused on scalability, collaboration, and continuous learning</li></ul>Required Skills and Experience<ul><li>Proven track record of building and deploying ML pipelines and contributing to ML platform tooling</li><li>Solid understanding of ML workflows and experience supporting scientists through to production</li><li>Strong ownership mindset and ability to work independently</li><li>Excellent communication skills across technical and non-technical stakeholders</li><li>Experience designing systems in modern cloud environments (e.g. AWS, GCP)</li></ul>Technologies and Tools<ul><li>Python</li><li>ML and MLOps tooling (e.g. SageMaker, Databricks, TFServing, MLflow)</li><li>Common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow)</li><li>Spark and Databricks</li><li>AWS services (e.g. IAM, S3, Redis, ECS)</li><li>Shell scripting and related developer tooling</li><li>CI/CD tools and best practices</li><li>Streaming and batch data systems (e.g. Kafka, Airflow, RabbitMQ)</li></ul>

Senior Machine Learning Engineer

<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

Job DescriptionWe 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

Data is at the heart of what we do.Depop is looking for a Data Enablement 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></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 governance compliance, privacy and data quality monitoring solutions, ensuring that we uphold data subject rights for our customers</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, Kafka, Databricks and data observability &amp; catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub)</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>

Data Enablement Engineer

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 a 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 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: Automating infrastructure and monitoring, 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>Advanced knowledge in a high-level programming language (e.g. Python) with a solid foundation in software engineering best practices - testing, clean coding standards, code reviews, pair programming, CI/CD, automation-first mindset</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 good grasp of their needs and how they operate</li><li>Big data technologies, with expertise in tools &amp; platforms such as Airflow, DBT, Databricks and data observability &amp; catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub)</li><li>Knowledge of systems design within a modern cloud-based environment (AWS, GCP), including AWS primitives such as IAM, S3, RDS, EMR, ECS and more</li><li>DevOps experience building CI/CD pipelines (Jenkins), IaC (Terraform)</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>Experience introducing a data governance &amp; observability stack enabling rich data lineage, data contracts, SLA/SLO, tagging and data quality monitoring capabilities both for our platform and for customer data owners</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><li>Experience working with containerisation technologies - Docker, Kubernetes</li><li>Streaming Knowledge: Experience with Kafka/Flink or other streaming ecosystems, with a solid understanding of their components</li></ul><ul><li>Experience working with lakehouse/medallion architectures in Databricks</li></ul>

Senior Data Platform Engineer

We’re looking for an experienced Content Designer to join our growing team at Depop. You’ll work across several squads in our Supply and Marketplace pillars, helping make Depop the easiest place for sellers of all kinds to turn their items into shoppable inventory. You’ll also support other experience areas as needed. You’ll bring content expertise, a user-focused mindset and a collaborative spirit to deliver impact, delight users and help shape the product that&#39;s making fashion circular.Responsibilities<ul><li>Own content end-to-end for your experience area(s) across the Depop apps (iOS &amp; Android) and Depop.com</li><li>Partner closely with designers, researchers, product managers and engineers to ship impactful work you’re proud of</li><li>Use feedback and user testing results to iterate effectively</li><li>Elevate content quality, defining what good looks like with your teams and providing guidance to non-writers, where necessary</li><li>Work with legal and regulatory teams to make sure content you write is compliant with industry standards and regulations, where necessary</li><li>Contribute to the evolution of content standards at Depop, including writing guidelines and content design best practices</li></ul>Requirements<ul><li>You have a strong portfolio demonstrating your ability to write clear and engaging content for a variety of digital products and platforms</li><li>Strong experience as a UX Writer/Content Designer</li><li>Experience writing for a US audience, or localising your content</li><li>You’re able to balance key user needs with business objectives</li><li>You have a strong understanding of UX design principles and how content influences user behaviour and interaction</li><li>You’re able to justify your copy decisions with user research, competitor research or UX best practices</li><li>You have excellent collaboration and communication skills, with the ability to work effectively individually and as part of particular squads where necessary</li><li>You have strong organisational skills and thrive in an environment that requires you to manage multiple projects, with several teams, simultaneously</li><li>You’re proficient in Figma and know when AI can and can’t help you produce your best work</li></ul>Heads up, this role probably isn’t for you if:<ul><li>Your experience is mostly in marketing content, advertising, copywriting or journalism – and you have no hands-on experience of content design or working in UX</li></ul>

Content Designer (12-month FTC)

We’re looking for an experienced Senior Product Designer to join the Supply design team, dedicated to building experiences that help our top sellers thrive and grow their businesses on Depop.As part of a cross-functional squad, you’ll collaborate closely with product managers, engineers, and researchers to shape seller-facing products. You’ll play a key role in realising our north-star vision for high-volume sellers – designing solutions that support them in listing, managing, and growing their shops with ease.This role is perfect for a designer who thrives on solving complex service and product challenges, balancing user needs with business goals, and who enjoys scaling impact through collaboration and mentoring.What you’ll do<ul><li>Execution &amp; Impact: Lead design across seller experiences end-to-end — exploring, prototyping, and delivering solutions from early concepts to polished UI and specifications.</li><li>Project Management: Balance multiple projects, ensuring strong execution while tying your work to broader product strategy.</li><li>Collaboration &amp; Influence: Partner with product, engineering, and research to shape priorities, align stakeholders, and rally teams around a clear vision</li><li>User &amp; Business Focus: Champion seller needs while balancing Depop’s goals — using data and market insight to identify opportunities, test solutions, and deliver impact.</li><li>Leadership &amp; Growth: Mentor peers, share expertise, and contribute to a positive, collaborative design culture.</li><li>Craft Expertise: Apply advanced design skills across mobile and web, raising the quality bar and evolving our team practices.</li></ul>About you<ul><li>Strong portfolio demonstrating thoughtful UX and UI design across mobile and web.</li><li>Experience leading end-to-end product design processes, from research synthesis to prototyping and delivery</li><li>Skilled in Figma and proficient with prototyping tools </li><li>Ability to translate research and insights into clear, compelling design decisions.</li><li>Confident in presenting work and influencing stakeholders with compelling but structured, evidence-based arguments.</li><li>(Nice to have)Experience scaling complex flows across devices, e.g desktop dashboards and within mobile apps.</li><li>(Nice to have) Experience with service design methodologies, mapping end-to-end journeys across touchpoints and considering both frontstage and backstage experiences.</li><li>(Nice to have) Familiarity with e-commerce or marketplace dynamics. </li></ul>Why join us?This is a unique opportunity to help shape the future of Depop for our most engaged sellers. You’ll be part of a supportive, ambitious design team, working on problems that sit at the heart of Depop’s growth – empowering creative entrepreneurs and making fashion more circular.

Senior Product Designer, Supply - 12 Month FTC

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

We’re looking for a UI Designer (12-month FTC) to join our Design System team. You’ll help shape and evolve Depop’s design language across platforms, creating high-quality, scalable UI components that empower product teams to deliver consistent, intuitive, and impactful experiences.This role is perfect for someone who thrives on detail, loves crafting systems, and can balance consistency with creativity.Responsibilities<ul><li>Contribute to Depop’s Design System: Create and maintain UI components, patterns, and documentation that support product teams across web and iOS and Android.</li><li>Craft high-quality UI: Deliver pixel-perfect visuals that balance usability, accessibility, and brand expression.</li><li>Collaborate cross-functionally: Work closely with product designers, engineers, and product managers to ensure components are consistent, functional, and easy to implement.</li><li>Support scalability: Identify opportunities to streamline and standardise UI, ensuring our design system supports future growth.</li><li>Champion consistency: Advocate for cohesive, system-led design across Depop’s surfaces.</li><li>Craft high-quality UI elements, animations, transitions, and microinteractions to enhance user engagement and delight. </li><li>Create designs that are optimised for different platforms, including iOS, Android, and responsive web, ensuring consistency across all touch points.</li><li>Comfortable presenting to larger audiences and senior stakeholders.</li></ul><div>Requirements<ul><li>Proven experience as a UI Designer, Visual Designer, or similar role working with digital products.</li><li>Strong portfolio demonstrating UI craft, attention to detail, and system-thinking.</li><li>Experience working with or contributing to a design system.</li><li>Proficiency in Figma (variants, components, libraries).</li><li>Understanding of accessibility standards and inclusive design principles.</li><li>Ability to collaborate effectively with cross-functional teams, including product designers and engineers.</li></ul>Nice to have (but not essential)<ul><li>Familiarity with tokens and design-to-code workflows.</li><li>Previous marketplace or e-commerce/fashion product experience.</li><li>Good understanding of motion principles.</li></ul></div>

Senior UI Designer (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

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

Data Scientist (Product Analytics)

The JobWe 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>Provide SME for labelling as well as support and refine labelling processes to ensure accurate, consistent, and scalable enforcement across multiple risk areas.</li><li>Document and communicate feature requests, requirements, and workflow improvements to stakeholders clearly and effectively.  </li></ul>QualificationsRequirements<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

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

RoleThe Assistant Management Accountant – Revenue &amp; COS supports the Finance Manager and Revenue Accountant in delivering accurate and timely reporting of revenue and cost of sales. The role contributes to monthly, quarterly, and annual reporting processes, providing analysis and insights that support business performance and decision-making.ResponsibilitiesThe core aspects of the role include:<ul><li>Supporting the Revenue Accountant and Finance Manager of Revenue &amp; External Reporting to deliver Revenue and COS reporting on a monthly and quarterly basis</li><li>Working collaboratively with the Strategic Finance team and also the wider business on specific revenue and COS related lines of the P&amp;L.</li><li>Help identify KPIs, margins, trends by having a good working knowledge and understanding of Looker and leveraging this knowledge to showcase meaningful reports and explanations</li><li>Preparation and posting of Revenue and COS month end journals including accruals</li><li>Preparation of revenue bank accounts and reconciliation to the various revenue streams</li><li>Ensuring the integrity of revenue related Balance Sheet reconciliations and P&amp;L reporting</li><li>Working with a continuous improvement mindset with a view to look for improvements to processes and workings and, where required, support any revenue or COS related transformation projects</li><li>Support the Internal Audit team on SOX related items</li><li>Support the Year End Audit Revenue and COS requirements</li><li>Support and preparation of the SEC Analytics and quarterly review</li><li>Ad hoc support to the Finance Manager of Revenue &amp; External Reporting relating to any new areas of revenue or revenue related projects</li></ul>QualificationsRequirements<ul><li>Part-qualified accountant (ACA, ACCA, or CIMA)</li><li>Strong Excel and data analysis skills; experience with Looker or similar BI tools desirable</li><li>Attention to detail and ability to work to tight deadlines</li><li>Clear communication and collaboration skills</li><li>Proactive, organised, and eager to contribute to process improvement</li></ul>

Assistant Management Accountant (12 month FTC)

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

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 looking for a UK-based Engineering Manager to lead our Web Platform squad. This team’s dual mission is to help scale our web platform to keep up with our rapid user growth with millions of monthly active users, and improve the developer experience by enabling our engineers to ship more with less code and less cognitive overload.  Key challenges you’ll be leading the team through include: how to ensure stability, security and scalability of the web platform, supporting the adoption of Typescript and node in Depop’s backend and building great developer tooling and paved paths to make engineering easier.This is a great opportunity to combine strong technical leadership and knowledge with real business impact: managing the team that is building the systems that power Depop’s growth, while shaping the future of how fashion resale reaches the world. Success looks like: scalable, reliable web platforms; empowered engineers; and measurable improvements in developer velocity and user experience.What you’ll do<ul><li>Deliver high impact solutions Lead your squad to ship high-quality, solutions that directly improve developer experience and effectiveness. You’ll own delivery and ensure your team’s work translates into measurable improvements.</li><li>Lead and support your squad Manage a team of 3–6 senior engineers. Your focus will be on enabling them to perform at their best while fostering happiness, motivation, and resilience. Hands-on contribution is encouraged, but your superpower is leadership.​</li><li>Collaborate across functions Partner with engineering, product, marketing, and data to understand your users, define priorities, align on goals, set strategic objectives and create a technical roadmap.​</li><li>Shape culture Champion inclusion, diversity, and team health. Foster a culture of curiosity, respect, and continuous improvement, aligned with Depop’s values and community-first DNA.</li></ul>What we’re looking forWe’d love to hear from you if you have some of the following:<ul><li>A track record as an Engineering Manager building high-performing teams, delivering impactful roadmaps, and growing engineers.</li><li>Experience designing and evolving scalable, reliable platform architectures, balancing concerns such as developer experience, security,  performance, and maintainability.</li><li>Background in web engineering with technologies like Nodejs, Next.js, Typescript and React.</li><li>Passion for improving developer productivity, building tooling, frameworks, and paved paths that help other teams move faster and safer.</li><li>A strong sense of ownership and delivery mindset - you love solving complex problems across domains, and making a big impact.</li><li>Great decision-making skills under ambiguity, with a bias towards simplicity and execution.</li><li>Excellent stakeholder management: aligning diverse goals to deliver outcomes everyone’s proud of.</li><li>Alignment with our Depop DNA - showing up for the community, having each other’s backs, acting with purpose, and keeping sustainability and thrift front of mind.</li></ul>

Engineering Manager - Web Platform

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

The JobThe Insights team works closely with stakeholders to produce analysis and to aid decision-making. This role works directly with the customer experience team. The role of the data scientist supporting this team includes helping them understand the main levers with which we can influence customer experience, why customers are contacting us and how we can better improve our service.There are several methods which the data scientist helps to achieve these goals. Firstly by making data available to consume for stakeholders.. Secondly by collaborating with stakeholders on deep dives to analyse trends. Finally it is to champion and share synthesised learnings with stakeholders in adjacent teams so the wider business has an understanding of the opportunities and risks within the customer experience space.Responsibilities:<ul><li>Creating and maintaining dashboards to track customer experience metrics.</li><li>Owning the migration of dashboarding to a scalable format</li><li>Producing ETLs from raw data sources to make data surfaceable</li><li>Aggregate data in a format which teams across the business can use</li><li>Supporting customer experience teams with analytical requests</li><li>Identify areas of opportunity to explore to improve customer experience</li><li>Measurement of impacts of strategic and tactical changes we make</li><li>Root cause analysis when we see things going wrong</li><li>Working across multiple teams including Community Support, Seller Success and Trust &amp; Safety</li><li>This role requires the ability to manage multiple stakeholders and be comfortable with context switching</li><li>This role will also require communication and collaboration with Product Data Scientists and Product Managers in cross-functional projects</li></ul>Requirements<ul><li>Proficiency in SQL and the ability to work with large datasets</li><li>Experience with visualisation tools like Looker or Tableau</li><li>Adept at creating ETLs (added bonus for experience with DBT)</li><li>Ability to work across multiple contexts</li><li>An analytical mind with good problem-solving skills and a love of numbers</li><li>Commercial awareness and a proactive attitude 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>Nice to haves<ul><li>Experience Working within a P2P marketplace or consumer-facing mobile-first products</li><li>Knowledge of Zendesk</li></ul>

Data Scientist (CX)

About the RoleWe’re looking for an Integrated Marketing Manager to join our Brand Marketing and Inventory team and support the planning and execution of integrated campaigns across the UK, US, and AUS markets. Reporting into the Head of Integrated Marketing, this role will play a key part in bringing Depop’s brand stories to life. From cultural moments and seasonal campaigns to always-on activity, we are looking for someone who can help us to engage our buyer and seller community.This is an exciting opportunity for a marketing professional who’s passionate about resale fashion, sustainability, and community-led platforms. You’ll work across multiple markets, collaborating with global and regional teams to ensure campaigns are locally relevant while globally cohesive. You’ll support in building campaign toolkits, managing timelines, coordinating cross-functional partners, and reporting on performance to help us deliver bold, impactful work that drives brand love and business results.Our integrated marketing team works end-to-end across the funnel, from strategy and creative development through to execution and measurement. We partner closely with Creative, PR, Social, Paid Media, Product, Inventory, Brand Strategy, Partnerships, and Influencer teams, as well as external agencies, to ensure every campaign reflects Depop’s values and resonates with our community. You’ll be joining a small but dynamic team where there’s room to take ownership, grow your skills, and make a real impact on a global stage.Salary Range:$90,000.00 - $108,000.00Key Responsibilities:Planning &amp; Delivery<ul><li>Assist in the development and execution of seasonal global integrated marketing plans, working under guidance from each market lead. </li><li>Drive organization, documentation, and clear communication across projects to streamline workflows and enable team leads to focus on strategic priorities.</li><li>Manage the global retail/cultural moments marketing calendar in partnership with the Brand Strategy, Creative, and Inventory and Merch teams, ensuring alignment of global, regional, and cultural priorities across the funnel.</li><li>Partner with Creative, Brand Strategy, PR, Social, Paid Media, Influencer, Partnerships, Inventory and Merch, and Product) to ensure campaign needs (assets, timelines, deliverables) are met. </li><li>Support campaign measurement, partnering with the Insights team to understand the impact of our work and share learnings that inform future planning.</li><li>Leverage both audience insights and internal data to identify business and market trends, providing input that helps shape global marketing strategies and priorities.</li></ul>Teamwork, Communication &amp; Collaboration<ul><li>Actively collaborate with marketing leads in the UK, US, and AUS to ensure strategies are locally relevant while globally cohesive.</li><li>Provide ongoing updates and clear communication to global and regional stakeholders, ensuring transparency and alignment across projects.</li><li>Build and maintain relationships with internal stakeholders and select external partners/agencies.</li></ul>User-Centric Execution<ul><li>Champion the Depop community’s perspective, ensuring marketing campaigns reflect and resonate with the needs, passions, and behaviors of our buyers and sellers.</li><li>Gather and share user and cultural insights with the global team to inform campaign development.</li></ul>Problem Solving &amp; Agility<ul><li>Work closely with Paid Media and Insights teams to monitor campaign performance, reporting back on KPIs, insights, and learnings to refine and optimize global plans.</li><li>Proactively identify challenges, propose creative solutions, and adapt plans to stay relevant in fast-changing cultural and resale environments.</li></ul>Qualifications &amp; Experience<ul><li>Experience in marketing, with a track record of supporting global, integrated, full-funnel campaigns.</li><li>Strong cross-functional skills, with the ability to align diverse stakeholders.</li><li>Ability to interpret data and insights to inform decision-making, with experience applying both audience research and internal business metrics to guide marketing strategy.</li><li>Excellent written and verbal communication skills</li><li>Highly organized, resourceful, and detail-oriented, with proven project management examples.</li><li>Passionate about fashion, sustainability, and global communities.</li><li>High proficiency in PowerPoint, Excel, and Google Workspace. </li></ul>Bonus<ul><li>Experience working within marketplace, retail or e-commerce brands.</li><li>Active Depop user (buyer or seller) who understands the culture of resale, sustainability, and self-expression.</li><li>Passion for fashion and internet culture, with an ability to spot and respond to emerging trends globally.</li></ul>

Integrated Marketing Manager

Company DescriptionWe’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

<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

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)

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

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