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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.

Depop is looking for an experienced Staff Engineer to join our team. You will be motivated to solve Depop’s most challenging technical problems within and across our backend, platform, and data domains. Your extensive technical experience will enable you to identify and address common pain points, enhancing productivity and streamlining practices for our engineering teams. Responsibilities:<ul><li>Work closely with Backend, Platform, and Data teams to identify and resolve constraints, improving developer experience and efficiency (Cross-Team Collaboration)</li><li>Identify and address backend challenges before they escalate, ensuring system reliability and smooth operations (Proactive Problem-Solving)</li><li>Apply deep backend knowledge to resolve issues, contribute substantial code solutions, and improve team productivity (Technical Expertise &amp; Code Contributions)</li><li>Design backend systems and data pipelines with scalability, maintainability, and developer experience in mind (Scalable System Design)</li><li>Align technical decisions with business strategy, drive organizational change, and adopt industry trends to future-proof systems (Strategic Leadership &amp; Innovation)</li></ul>Requirements:<ul><li>Proven track record of solving complex technical challenges and building scalable, high-traffic applications (Extensive Engineering Expertise)</li><li>Strong understanding of cloud environments (we use AWS) and system design principles with a focus on reducing complexity and cognitive load (Cloud &amp; System Design Mastery)</li><li>Ability to quickly learn and adapt to new technologies, anticipate issues, and prevent problems from escalating (Problem-Solving &amp; Adaptability)</li><li>Experience mentoring engineers, being a technical go-to person, and effectively communicating complex concepts (Mentorship &amp; Communication)</li><li>Proficient in testing at various levels (unit, integration, etc.) and analyzing problem-solving insights to improve outcomes (Robust Testing &amp; Analysis)</li></ul>Must haves:<ul><li>Ability to persevere through setbacks with energy and drive, ensuring project delivery</li><li>Approachable and supportive demeanour, capable of building strong relationships across all levels</li><li>Skilled in aligning technical decisions with business strategy, working closely with engineering leadership</li><li>Ability to navigate complex political situations tactfully, ensuring initiatives progress smoothly</li><li>Comfort with ambiguity, uncertainty, and risk, maintaining agility in changing situations</li><li>Openness to actively seek and act on feedback and coaching, enhancing organisational effectiveness</li><li>Knowledge of event-driven architectures and different data storage systems</li></ul>Nice to haves:<ul><li>Experience with ecommerce and marketplace systems in a business-to-consumer environment</li><li>Proficiency with Infrastructure as Code, ideally using Terraform</li><li>Experience using Datadog for monitoring and observability</li><li>Track record of successfully implementing company-wide technical initiatives</li></ul>

Senior Staff Engineer

Job DescriptionDepop is looking for an experienced Senior Backend Software Engineer to join us permanently. Within this role, you’ll be working in a product engineering team developing the services used for interaction between our customers and Depop. As a member of this cross functional team, you will collaborate with product, design and other engineers to improve ease of access to support and efficient issue resolution for our customers. 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></ul>Qualifications:<ul><li>Be capable to write high quality code in Scala or be interested in learning a functional language</li><li>Experience working with RDBMS, ideally Postgres</li><li>Distributed datastores (e.g. DynamoDB)</li><li>Message queues: (e.g. RabbitMQ / Apache 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></ul>Must haves:<ul><li>Experience with Scala </li><li>Willing to work in Python and Scala codebases</li><li>Proficient in testing solutions at different levels — unit and integration —</li><li>Experience with relational or non-relational databases, preferably PostgreSQL, DynamoDB, AWS Athena</li><li>Experience with Docker and Kubernetes</li></ul> Nice to haves:<ul><li>Experience with Java</li><li>Experience with Play framework</li><li>Experience with web frameworks, or web development</li><li>Experience with eCommerce</li><li>Experience with event-driven architectures, preferably using RabbitMQ or Kafka</li><li>Experience in using production AWS infrastructure, ideally with Terraform</li></ul>

Senior Backend Engineer

The RoleThe Scaled Moderation Manager is responsible for bringing about improvements in moderation via a test, learn, adapt approach to improve the user experience. This includes bringing about improvements in user sentiment, including improving user sentiment around “As a user, I feel fairly treated by Depop”. You will work closely in collaborating with the other content moderation stakeholders within T&amp;S and other T&amp;S team members, as well as stakeholders within Policy, Engineering, Product, PR, Comms, Legal, HR, Finance, PALS, Real-time team, CX and external stakeholders such as Depop’s BPO, and third party content moderation provider.  You&#39;ll analyse data, to identify trends, decide what the biggest pain points are, and then design tests to solve those problems. The Scaled Moderation Manager will run those tests in a product led way, e.g. via experimentation, with set hypotheses, metrics to test to validate or invalidate the hypotheses, a set duration of testing, dashboards to monitor metrics and clear success measures. The role will test, learn and adapt scaled moderation as much as possible to ensure the user experience is continually improved.The ways of working to achieve this includes;<ul><li>Customer centricity</li><li>Learning and iterating</li><li>Focus and prioritisation</li><li>Collaboration is key</li><li>Team empowerment </li><li>Challenge what eats your time</li></ul>Responsibilities<ul><li>Lead a small team currently of one content moderation specialist and one senior specialist, to contribute to the transformation of the way in which Depop moderates content at scale, enabling improvements in proportionate and fair moderation</li><li>Run experimentation to bring about user experience improvements in relation to moderation</li><li>Ensure relevant stakeholders are kept updated on 1) tests being run, 2) results and 3) learnings</li><li>Bring about, as fast as possible, turn around of tests, whilst ensuring tests are run responsibly, to enable a fast pace of learning and improvements to be made to the user experience in relation to moderation</li><li>Communicate feedback, challenges, roadblocks, insights effectively and concisely to appropriate audiences and stakeholders</li><li>Lead, manage and coach team members to develop them in their roles and to foster a culture of excellence, reliability, respect and humility</li><li>Oversee the relationship with the third party content moderation provider and ensure 1) service requirements are met and strong relationship nurtured via providing feedback on strengths and areas for improvement and 2) Depop leverages their new features to enhance scaled moderation</li><li>Ensure the right balance between the team spending the majority of their time on experimentation, rather than managing bugs or conducting administrative work relating to the content moderation provider.  Where there is administrative work to be done, the Scaled Moderation Manager can support the more junior content moderation specialist to undertake most of that administrative work, but also encourage them to push back on the content moderation provider where necessary</li><li>Keep up-to-date on industry trends and emerging issues in the Trust &amp; Safety space, particularly in relation to moderation</li><li>Ability to remain calm and effective under pressure and coach the team to effectively navigate and communicate in a fast paced and ambiguous environment</li></ul>Requirements - Essential<ul><li>Experience leading teams, ideally in Trust &amp; Safety Operations, or Risk operations in domains such as content moderation, compliance, risk or authentication</li><li>Experience having led experiments / test, learn, adapt approach within a technology company</li><li>Experience of owning and delivering solutions to ambiguous problems</li><li>Sound experience in a fast paced, technology company, either in Trust and Safety, Product or other function aimed at managing risks and improving the user experience,  ideally using a product led approach to experimentation</li><li>Critical thinker with the ability to identify root causes of issues, and propose solutions, and translate them into operational processes</li><li>Knowledge and experience of creating and setting up rules and workflows in a rules engine/content moderation system</li><li>Experience of liaising with Product, Engineering and Data Science stakeholders to ensure an objective and empirical approach is used to enable platform safety</li><li>Sound understanding of the Trust and Safety landscape, challenges, risks, and good practice</li><li>Excellent relationship management skills - able to work with cross-functional stakeholders from a variety of different backgrounds, culture and walks of life, who sit within different functions across the business, including but not limited to; Product, Engineering, PR and Comms, Legal, CX, Fraud, and Marketing</li><li>Excellent communication skills; able to tailor communication to a variety of audiences - able to step back and provide high level overviews for senior leadership and zoom into the detail to ensure adequate insights into operational matters when needed</li><li>Drive to proactively lead experimentation without the need for close supervision to ensure progress</li><li>Proactive, can do attitude, able to work on own initiative and drive impact without the need for tasks to be delegated to them</li></ul>

Scaled Moderation Manager

Job DescriptionDepop is looking for a versatile Senior Machine Learning Scientist to join our Recommendations 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>QualificationsSignificant experience (3&#43; years) working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problem<ul><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 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 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 - Recommendations

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

RoleDepop 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 Analyst) 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 (7&#43; years) working in Machine Learning, delivering models to solve industry-scale problems, and 2 &#43; years leading teams 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

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

Senior Machine Learning Scientist

<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

We are seeking a highly commercial and strategic Senior Finance Business Partner to act as a trusted advisor to our dynamic Marketing leadership team. Your primary goal is to drive financial performance, optimise spend, and provide critical insights to fuel our growth.You will be deeply integrated into the Marketing function in this true business partnering role. You&#39;ll be expected to challenge assumptions, influence key commercial decisions, and shape strategy through compelling storytelling and robust financial analysis.We are seeking a hands-on individual who can collaborate effectively within a team yet also possesses the autonomy and confidence to engage directly with the business. This role will be both challenging and rewarding as you manage multiple priorities in a dynamic, fast-paced environment to support our ambitious growth strategy.  Responsibilities:Strategic Partnership &amp; Decision Support:<ul><li>Serve as a dedicated and embedded thought partner to the marketing leadership team and direct reports, proactively identifying opportunities for value creation and risk mitigation, going beyond simple budget oversight to influence long-term strategic direction.</li><li>Bridge the gap between Finance and the business by demystifying financial data, translating complex financial concepts into actionable insights for non-finance stakeholders.</li><li>Constructing financial models for strategic initiatives including sensitivity analysis and scenario planning to understand the potential range of outcomes and presenting a clear view of the financial risks and rewards.</li><li>Support on robust business cases that go to the executive leadership team, working alongside and in collaboration with analytics and strategy to articulate not just the financial projections but also the strategic rationale, competitive landscape, potential risks, and operational requirements needed for success.</li></ul>Financial Planning &amp; Analysis<ul><li>Own the entire financial planning cycle for Marketing and other areas of the business as required, including the annual budget, quarterly re-forecasts, and the 3 year strategic plan. You will set clear timetables, provide guidance, and rigorously challenge assumptions from each marketing sub-function to deliver a consolidated, bottoms-up plan that aligns with top-down corporate targets.</li><li>Prepare and present compelling monthly review packs for the leadership team. Your focus will be on the &#39;why&#39; behind the numbers, providing deep-dive analysis on performance drivers and delivering forward-looking commentary on emerging trends, risks, and strategic opportunities.</li></ul>Process Improvement &amp; Leadership<ul><li>Constantly identify and implement improvements to financial processes, reporting, and tools to increase efficiency and the level of insight provided to the business</li><li>Champion financial literacy and commercial acumen across the Marketing function through informal training and day-to-day partnership, empowering marketers to make better, faster decisions.</li></ul>Requirements:<ul><li>CIMA or ACCA accounting qualified</li><li>​​You will be an ambitious, dedicated individual that is excited about the opportunity to develop in a fast-paced global business that is constantly changing</li><li>Proven experience in a commercially focused Finance Business Partner or FP&amp;A role</li><li>Exceptional financial modelling, forecasting, and analytical skills with an expert-level proficiency in Microsoft Excel / Google sheets</li><li>Outstanding communication and interpersonal skills, with a demonstrated ability to build relationships and influence senior stakeholders.</li><li>Great awareness of deadlines and competing priorities. </li><li>Ability to work autonomously and as part of a team. Natural curiosity to seek out improvements and proactively taking initiative.</li></ul>

Senior Finance Business Partner (Marketing)

We are seeking a commercially astute and strategically-minded Senior Finance Business Partner to act as a trusted advisor to our General Manager of Fulfilment and direct leadership team. This pivotal role covers the critical domains of Shipping, Payments, and Fraud Prevention, which together represent a strong business focus and significant area of our P&amp;L.Your primary goal is to drive operational efficiency, optimise a significant cost base, and enhance the customer experience through data-driven financial insights. This role moves far beyond traditional cost accounting; you will be a key player in high-stakes commercial negotiations, strategic decision-making, and long-term planning; directly impacting both our profitability and our customer value added proposition.We are seeking a hands-on individual who can collaborate effectively within a team yet also possesses the autonomy and confidence to engage directly with the business. This role will be both challenging and rewarding as you manage multiple priorities in a dynamic, fast-paced environment to support our ambitious growth strategy.  ResponsibilitiesCommercial &amp; Strategic Partnership:<ul><li>Act as the dedicated financial and strategic advisor to the Shipping, Payments, and Fraud teams, translating operational initiatives into financial outcomes.</li><li>Provide robust financial modelling and analysis to support commercial negotiations with key external partners.</li><li>Develop and champion compelling business cases for major strategic initiatives. Eg new shipping services, payment types or new fraud detection platforms..</li><li>Partner with the Payments team to analyse key performance indicators such as payment authorisation rates and chargeback levels, modelling the financial impact of any changes.</li><li>Collaborate with the Fraud prevention team to quantify the Return on Investment (ROI) of fraud tools and strategies, striking the critical balance between preventing fraud losses and minimising friction for legitimate customers.</li></ul>Financial Planning &amp; Analysis:<ul><li>Own the entire financial planning cycle for fulfilment, including the annual budget, quarterly re-forecasts, and the 3 year strategic plan, covering both revenue and costs, challenging assumptions and ensuring alignment with the company&#39;s strategic objectives.</li><li>Deliver insightful and actionable monthly performance analysis and commentary for senior leadership. Your reporting will tell the story behind the numbers, explaining why variances occurred and what actions should be taken.</li><li>Become the in-house financial expert on our total cost of payment acceptance, enabling modelling and analysis of the impact of different payment methods, transaction and interchange fees on our bottom line.</li><li>Develop and enhance KPI dashboards in partnership with the Data &amp; Analytics team to provide real-time visibility into the key operational and financial drivers of the Fulfilment function.</li></ul>Requirements<ul><li>CIMA or ACCA accounting qualified</li><li>​​You will be an ambitious, dedicated individual that is excited about the opportunity to develop in a fast-paced global business that is constantly changing</li><li>Proven experience in a commercially focused Finance Business Partner or FP&amp;A role</li><li>Exceptional financial modelling, forecasting, and analytical skills with an expert-level proficiency in Microsoft Excel / Google sheets</li><li>Outstanding communication and interpersonal skills, with a demonstrated ability to build relationships and influence senior stakeholders.</li><li>Great awareness of deadlines and competing priorities. </li><li>Ability to work autonomously and as part of a team. Natural curiosity to seek out improvements and proactively taking initiative.</li></ul>

Senior Finance Business Partner (Shipping, Payments and Fraud)

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>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>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>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 (AWS, GCP) including AWS primitives such as IAM, S3, RDS, EMR, ECS and more</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>DevOps experience building CI/CD pipelines (Jenkins), IaC (Terraform)</li><li>Experience working with lakehouse/medallion architectures in Databricks</li></ul>

Senior Data Platform Engineer

Depop Payments plays a critical role in driving growth and presents significant opportunities for innovation as we work towards our mission to &#34;Make Fashion Circular.&#34; We are seeking a Senior Payments Operations Manager to collaborate across departments and with external partners to deliver value to our users. This role will focus on driving impact across the payments process through cost optimization, improving conversion, ensuring tax compliance, and delivering a safe, seamless and reliable payments experience. The ideal candidate will bring a strategic mindset to payments operations while balancing technical execution with a deep understanding of the user experience.Responsibilities:<ul><li>Payment Optimization &amp; Analysis: Oversee and optimize Depop’s payment processing solutions to drive margin improvements. Monitor payment acceptance metrics, identify optimization opportunities, and implement strategies to enhance conversion rates and reduce friction.</li><li>Vendor Management: Assist in the evaluation and ongoing management of Payment Service Providers (PSPs), maintaining strong partnerships and ensuring service excellence.</li><li>Fraud Prevention &amp; Operational Efficiency: Collaborate with the fraud team to develop solutions addressing payments fraud, including fraudulent chargebacks and bad recoupment. Work with cross-functional teams to identify operational pain points, prioritize solutions, and improve the user experience and overall payment processes and efficiency, thereby enhancing trust with users.</li><li>Payment Methods &amp; Industry Trends: Partner with Finance and Product to assess new payment methods and identify integration opportunities. Stay informed about payment industry trends, collaborating with Product to incorporate emerging opportunities into future plans.</li><li>Regulatory Compliance &amp; Tax Management: Collaborate with Legal, Tax, and Finance teams to track evolving tax and regulatory requirements, ensuring compliance and evaluating associated risks and benefits. Lead the operational execution of tax season across all relevant markets, ensuring compliance with local regulations and efficient processing.</li></ul>Required Skills &amp; Experience: <ul><li>Experience managing PSP (Payment Service Provider) relationships e.g. Stripe, or working in a PSP in an operational role </li><li>Deep understanding and passion for payment optimisation, with a strong focus on enhancing the user experience throughout the payment process</li><li>Sound knowledge of payment systems and technology as well as keeping up to date with relevant innovations in the field</li><li>Skilled at collaborating cross functionally with product management/ in a product-led organisation </li><li>Strong analytical mindset with the ability to measure, optimize, and continuously improve payment performance, ensuring that metrics align with business goals.</li><li>Exceptional ability to influence cross-functional stakeholders through clear, concise, and persuasive written and verbal communication skills.</li></ul>Desired Skills &amp; Experience: <ul><li>Experience working at an online peer-to-peer marketplace in a Payments operations capacity.</li></ul>

Senior Payments Operations Manager

<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 JobWe are looking for a Product Analyst to become an integral member of our Insights team. The product analytics team works closely with product stakeholders to support all aspects of the Depop product. This includes curating and driving inventory, helping our buyers find what they are looking for, ensuring all of our users are getting good value, creating fresh and exciting content and growing the platform. We also work with many other parts of the business, for example the data team, to ensure that data being produced is accurate and useful for analysis, or the machine learning team to assess how well their work is helping our users navigate the Depop experience. You will work with a product analytics lead to support a set of product squads on discovery work, experimentation and measurement, using analytical methodology and insights. You will also work with your Insights team to gain knowledge of the wider Depop business and an understanding of how your product area fits into the overall ecosystem. This role will therefore require you to develop a deep understanding of a specific area and also a high level view across the business, enabling you to guide your stakeholders to make robust, data-driven business decisions.Responsibilities<ul><li>Supporting with the product teams’ on analytical requests: you will work closely with the product teams in order to help them identify areas of opportunity, measure effect sizes through experimentation and track key metrics through dashboards and visualisations</li><li>Strategic thinking: you will be expected to bring a strategic view to all of your work. You will be expected to build deep strategic thinking to product improvements in our area for our users, whilst also the ability to have a wider strategic view across the business, understanding how your remit is serving the goals of the overall product organisation.</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>Understanding of Python and some command over ETL scripts</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>Bonus points for:<ul><li>Experience working within a P2P marketplace or consumer-facing mobile-first products</li><li>Experience with experimentation and A/B testing</li></ul>

Product Analyst

Depop is looking for an experienced Web Engineer to join us permanently. Within this role, you’ll be working in the Demand product pillar, with the mission of attracting and activating users arriving on Depop, by crafting seamless buying experiences.As a member of this multi-functional space, you will collaborate with product, design and other engineers to build a smooth, quick, and trustworthy journey for our users, from the moment they land on the website.You’ll be responsible for the entire lifecycle of small/medium projects of moderate complexity in both our web app and web APIs. You’ll need to be comfortable dealing with uncertainty and ambiguity, proactively pulling in people at the right time. Your work will be pivotal in ensuring we facilitate excellent interactions between Depop and our customers on the platform. ResponsibilitiesAs a Senior Web 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 craft 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>Adopt 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 daily with fellow engineers in the multi-functional environment to address problems and write code</li><li>Mentor and coach your colleagues</li></ul>Qualifications<ul><li>Proven JavaScript skills, including concepts like asynchronous programming, promises, closures, types, and ES6</li><li>HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility</li><li>Experience in TypeScript, React and Node.js</li><li>Building automated tests using Javascript test frameworks</li><li>Experience consuming RESTful API services</li><li>Comfortable in using Git</li><li>Experience working collaboratively as part of an agile team in a product-focused business</li></ul>Nice To Haves<ul><li>Experience deploying web applications at scale</li><li>Experience writing RESTful API services, either in Javascript or TypeScript</li><li>Experience in Next.js and server components</li><li>Knowledge of Docker and Kubernetes</li><li>Experience of CI (Continuous Integration) and CD (Continuous Delivery) and adopting DevOps with maintaining pipelines using Jenkins</li></ul>

Senior Web 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)

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 help run our Community Experience (CX) squad, a key team focused on providing a best in class customer support experience through facilitating excellent interactions between Depop and our users. 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 Marketplace initiative focusing specifically on helping our users find it easy to access the help they need within the app during their journey. 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, 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, analytics, engineering, 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>You’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>Have previously worked in the CX Product space, or worked with customer service solutions like Zendesk, or Intercom and understand how to leverage these from an Engineering and Product perspective to help make our users, and support agents lives easier. </li><li>Come from a strong engineering background, and are comfortable relying on your technical expertise to lead and guide the team from a technical perspective. </li><li>You can work 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><li>You align with our “Depop DNA” - showing up for the community,  having each other&#39;s backs, acting with purpose while having sustainability and cost in mind through thinking thrift.</li></ul>Bonus points if:<ul><li>You’re excited about the advances in agentic AI, and want to be a part of a fast growing company looking to leverage them in this space.</li><li>You are familiar with any one of the following technologies :  Swift ( iOS) , 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 - CX

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 run one of Depop’s most cross-functional teams and high impact teams - Martech. 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 with domain expertise as part of our wider Growth initiative focusing specifically around our Martech capabilities to improve paid marketing efforts.You will manage all engineers in the team and be responsible for creating and executing on the team&#39;s roadmap. You’ll report to the Senior Engineering Manager in the Growth pillar. 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 3-6 engineers, 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, analytics, engineering, 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>You’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>Have good MarTech domain knowledge, with an understanding of the advertising ecosystem, including product catalogues, ad conversion data, targeting and measurement, as well as the changing privacy and compliance landscape.</li><li>Have a data engineering background, or working experience with data technologies such as Databricks, Spark, Kafka, SQL and Airflow. </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><li>You align with our “Depop DNA” - showing up for the community,  having each other&#39;s backs, acting with purpose while having sustainability and cost in mind through thinking thrift.</li></ul>Bonus points if:<ul><li>You are familiar with any one of the following technologies : Scala, Python Swift ( iOS), React or Typescript.</li><li>You are familiar with observability, tracking and data pipeline tools and methodologies</li></ul>

Engineering Manager, Martech

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

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

Job DescriptionAs an 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 a cross-functional team, leveraging our Mobile Continuous Integration pipeline, with Unit and Integration Testing built in, to iterate our iOS application to help our millions of users.  You will work in a 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>

iOS Engineer

In 2025 our ambition is to be a high-performing, delivery-focused organisation and the best engineering organisation for those who value meaningful career growth. We are looking for a UK based Engineering Manager to lead our Shipping squad, a key team ensuring we provide our users with a best in class post 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 shipping with Depop is 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, PayPal or Shippo 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><li>You align with our “Depop DNA” - showing up for the community,  having each other&#39;s backs, acting with purpose while having sustainability and cost in mind through thinking thrift.</li></ul>Bonus points if:<ul><li>You are familiar with any one of the following technologies :  Scala, Java, Swift ( iOS) 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 - Shipping

We’re looking for a Senior Product Data Scientist to join our Insights team. You’ll partner closely with product, engineering, and machine learning to deliver insights, drive experimentation, and shape the future of Depop’s product ecosystem.This role sits at the intersection of technical excellence and strategic impact. You will not only dive deep into data, pipelines, and experimentation frameworks, but also influence product direction, user experience, and commercial outcomes.What You’ll Do:Lead 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 strategy:Provide 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 experiments:Define 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 discovery</li></ul>

Senior Data Scientist (Product Analytics)

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

Strategic People Partner

As the Depop community continues to grow on a global-scale, the systems and cloud infrastructure behind our product must be intelligently designed and built to withstand peaks and troughs in demand.As an Engineer on the core infrastructure team, you will play a key role in this effort. You&#39;ll focus on delivering high-value projects and ensuring the design and implementation of the next phase of our platform meet high standards with our users in mind. You’ll have the opportunity to make architectural decisions and drive improvements when better solutions are available. Our team values quick iteration and adaptation.You&#39;ll use tools like AWS, Terraform, Kubernetes, Golang, and Python to build the next generation of our platform, enabling distributed ownership of services among engineers. Your work will help develop a robust infrastructure platform that supports Depop’s goals. Responsibilities<ul><li>Build and Support Services: Contribute to the development and maintenance of reliable, scalable, and performant services, taking shared ownership of their operation and availability.Deliver Software Solutions: Develop and implement software that improves developer experience, scalability, and platform efficiency.Cloud Infrastructure: Help maintain, secure, and optimize the cloud infrastructure that underpins our platform, with a focus on stability and performance.On-Call Participation: Join our on-call rota to support services, respond to incidents, and help maintain reliability.Iterate and Improve: Find opportunities to automate, streamline, and improve processes and systems, contributing to a culture of continuous improvement.Collaborate Across Teams: Partner with developers, platform engineers, and security specialists to deliver infrastructure that enables smooth development and deployment workflows.Security and Compliance: Apply security guidelines and follow compliance standards when working on infrastructure and processes.</li></ul>

Platform Engineer

We’re currently hiring for a Product Manager to work in the Inventory initiative team. Our 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.Responsibilities Vision, strategy and roadmap: <ul><li>Define and drive the web sellers product vision, as it relates to the wider Inventory and Supply product strategy.   </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>Work with squad leadership to ensure solutions are simple, intuitive, and web-optimised - ensuring break-points, mobile web, responsiveness are considered when building web experiences and features. </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 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)

Contract: Fixed-term (12 months)We’re looking for a Senior Product Data Scientist to join our Insights team for a 12-month maternity cover. 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:Lead 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 strategy:Provide 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 experiments:Define 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 discovery</li></ul>

Senior Data Scientist (Product Analytics) 12 Month FTC

Job DescriptionWe’re looking for a Senior Paid Media Manager to join our team and lead our upper-funnel paid media activity in the US market. Reporting into the Paid Media Lead, this role will be pivotal in driving brand awareness and audience growth across key channels including CTV/OTT, YouTube, Paid Social, and Audio.This is an exciting opportunity for a seasoned media specialist with US market experience, a passion for audience development, and strong agency management skills. You’ll be responsible for overseeing media planning, execution, optimisation, and reporting - while working closely with our agency partners and internal teams to ensure we hit ambitious reach, awareness, and engagement targets. This person has likely worked at a media agency or in-house executional role.Our paid media team is a small but dynamic team that executes a hybrid approach to media buying, collaborating both in-house and with external media agencies. The team has ownership across the entire media funnel; from upper-funnel brand activity to lower-funnel performance campaigns. It brings together a diverse mix of skill sets, spanning from strategy and planning through to hands-on execution. This structure allows for end-to-end responsibility, ensuring both big picture thinking and tactical delivery sit within one collaborative unit.<h3></h3>The Role<ul><li>Lead strategy, planning and execution of upper-funnel paid media campaigns in the US, covering CTV/OTT, YouTube, Paid Social, Audio and offline channels.</li><li>Manage day-to-day relationships with media agencies, ensuring best-in-class planning, activation and reporting.</li><li>Build and optimise audience development strategies, identifying and testing new segments and targeting opportunities to drive incremental reach and awareness.</li><li>Collaborate with internal teams across Brand Marketing, Insights, Creative and Product to align media plans with business priorities and campaign calendars &amp; business objectives .</li><li>Own the testing roadmap for US &amp; Australia upper-funnel activity, driving a culture of experimentation and continuous improvement.</li><li>Lead on campaign performance reporting, providing clear, actionable insights and recommendations to internal stakeholders at all levels.</li><li>Stay on top of platform innovations, audience trends and emerging channels - proactively identifying new opportunities to enhance our media mix</li></ul>What we&#39;re looking for?<ul><li>Experience in paid media, with a strong focus on upper-funnel brand and awareness campaigns in the US market. Some of these years will have been spent executing upper-funnel media.</li><li>Deep knowledge of the US media landscape</li><li>Proven experience managing and optimising campaigns across CTV/OTT, YouTube, Paid Social (Meta, TikTok, Pinterest) and Audio.</li><li>Demonstrable agency management experience - briefing, collaborating with, and holding external partners to account.</li><li>Strong track record in audience development and segmentation strategy.</li><li>Excellent analytical skills with the ability to interpret data, uncover insights and tell a clear performance story.</li><li>Strong communicator and collaborator, confident working with multiple internal stakeholders across different teams and seniority levels.</li><li>Highly organised, proactive and comfortable working in a fast-paced, dynamic environment.</li><li>Familiarity with attribution modelling and brand measurement frameworks. Including exposure to brand safety and viewability tools.</li></ul>Bonus:<ul><li>Experience working within marketplace, retail or e-commerce brands.</li><li>Previous exposure to creative development for upper-funnel channels.</li><li>Previous experience on app first business with MMP knowledge </li></ul>

Senior Paid Media Manager

<h2>Role</h2>Depop is looking for a dedicated Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop.<h2>Responsibilities</h2>You will:<ul><li>Research, design and deliver machine learning solutions to solve cross-cutting problems within the fashion resale space</li><li>Work with and finetune models for representation learning, computer vision, and classification</li><li>Understand requirements from various stakeholders across the business, designing general-purpose machine learning solutions to power features like content understanding, moderation, and personalization</li><li>Set up and conduct large-scale experiments to test hypotheses and drive model and product improvements</li><li>Keep up to date with research, contribute to internal knowledge sharing and ML best practices, and help the team stay informed about new techniques and approaches relevant to our work</li><li>Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping</li><li>Report and present technical findings to technical and non-technical audiences</li></ul><h2>Qualifications</h2>Skills and Experience<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 with 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 with NLP, image classifiers, deep learning, or large language models</li><li>Experience with experiment design and conducting A/B tests</li><li>Experience building shared or platform-style ML systems</li><li>Experience with Databricks and PySpark</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Machine Learning Scientist

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

The Search Retrieval team is central to Depop’s discovery experience, guiding buyers toward the most relevant listings and powering a retrieval platform used across multiple areas of the Product. As Product Manager, you’ll drive the team’s roadmap, collaborating with Engineering and Machine Learning partners to build the systems that enable personalised, high-quality discovery for our users.  Responsibilities:Strategy and roadmap:<ul><li>Work with technical co-partners to define and execute a product vision and strategy.</li><li>You won’t be expected to come up with all the ideas, but instead facilitate excellent ideation, prioritisation and decision making with your technical co-partners. </li><li>Work with Product Analysts to define and monitor the key metrics for your team and ensure ongoing experimentation best practices. </li></ul>Deciding what to build:<ul><li>Prioritise your team’s time and resources to achieve the maximum progress on key quarterly objectives, ensuring efforts are directed where they matter most</li><li>Interact with stakeholders throughout the business to understand and prioritise their retrieval needs</li><li>Use user research and rigorous data analysis to make informed decisions about what to and what not to build and ensure this technical team remains connected to the needs of our users. </li></ul>Keeping everyone aligned and informed:<ul><li>Aligning with the Product lead and the functional leadership on the priorities and strategic goals of the wider ‘Match’ product area (Recommendations, Search, Ranking teams)</li><li>Keeping all stakeholders informed about team direction and progress</li><li>Motivating the team and giving them the context they need to reach their potential</li></ul>Requirements:Must haves:<ul><li>Experience as a Product Manager working with ML products, or in a highly relevant technical field.</li><li>Excellent communication skills. You are logical, articulate, and can work collaboratively with highly technical stakeholders.</li><li>A strong sense of ownership and be highly organised. You create order in the world around you and get huge satisfaction from delivering the highest quality features</li><li>Beginner’s Mindset is one of our core values. We’re a learning organisation, and a group of people that thrive on getting better every day. Your curiosity and thirst for knowledge are more important than what you know already.</li><li>Great commercial awareness. You think constantly about driving business results, and base your decisions in data, user interviews, and rigorous analysis</li></ul>Things that would be useful, but are not essential:<ul><li>Experience working in a marketplace business</li><li>Experience working in Search, Recommendations or Ranking</li><li>Technical background, for example, engineering or machine learning</li><li>A love of fashion, especially if you’re already part of the Depop community</li></ul>

Product Manager, Search (12-month FTC)

The People, Culture and Impact (PCI) team’s mission is to deliver a mission-driven experience that empowers the People of Depop to do their best work. As Depop continues its path to profitability and executes on its growth strategy, the 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.Role:In this role, you will play a critical part in attracting, engaging, and hiring top talent while acting as a trusted advisor to business leaders. You will execute sourcing strategies, enhance the candidate experience, and contribute to building a strong employer brand. Responsibilities: <ul><li>Partner with hiring managers and our Strategic People Partners to understand talent needs and develop effective recruitment strategies.</li><li>Lead end-to-end recruitment processes, including sourcing, interviewing, and closing out offers. </li><li>Assume a proactive role as a DEI Champion, elevating diversity, equity, and inclusion throughout our hiring processes. </li><li>Implement proactive sourcing strategies to attract passive candidates through networking, social media, and other channels.</li><li>Act as a talent advisor, providing market insights and best practices to hiring teams and the wider People, Culture &amp; Impact team.</li><li>Collaborate closely with the People team to ensure seamless onboarding and contribute insights to the broader People agenda.</li><li>Build strong talent pipelines for critical and hard-to-fill roles.</li><li>Foster an outstanding candidate experience by ensuring a seamless and engaging recruitment process.</li><li>Partner with our Data Analyst to harness recruitment metrics and analytics to measure strategy effectiveness, identify trends, and facilitate data-driven decision-making for continuous improvement.</li><li>Cultivate relationships with potential talent, expanding your network and showcasing the company brand through compelling communication and storytelling.</li><li>Contribute to Talent and People team projects and initiatives, as well as participation in cross-functional squads, to support strategic priorities.</li></ul>Requirements:<ul><li>Demonstrated experience in hiring for Software Engineering &amp; Data teams and partnering with stakeholders in this space</li><li>Proven track record of full-cycle recruiting, preferably in a fast-paced or high-growth Tech business.</li><li>Proven ability to partner with and influence leaders on hiring decisions.</li><li>Strong experience with sourcing techniques, including LinkedIn Recruiter, Boolean search, and other talent tools.</li><li>Excellent communication, negotiation, and relationship-building skills.</li><li>Data-driven mindset with experience using applicant tracking systems (preferably Workday) and recruitment analytics. </li><li>Experience in using this data to influence hiring decisions and process improvements.</li><li>Ability to manage multiple priorities while delivering a high level of service to candidates and stakeholders.</li><li>Passion for and experience of executing diversity, equity, and inclusion hiring practices.</li></ul>

Talent Partner

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, 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>Software engineering experience. We’re open about what languages you know, as long as you’re open to learning our stack.</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

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)

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>