Jobs at Depop

Own data science and analytics for the Shipping team, analyzing buyer and seller behavior, delivery performance, carrier economics, and product outcomes. Design and evaluate A/B tests, build dashboards and scalable datasets, debug data issues, and provide strategic recommendations. Partner with product, operations, engineering, platform, and machine learning teams to improve shipping strategy, experimentation, and data-driven decision-making.

Join the Payments cross-functional team to design and deliver scalable backend services for millions of users. Own feature development from discovery to production, handle incident response, mentor engineers, collaborate with product and data teams, and promote DevOps, testing, and iterative A/B experimentation to continuously improve the product.

Manage a 3–6 engineer Search Retrieval team, delivering search features and experiments that improve purchasing metrics. Own team wellbeing, performance, career growth, roadmap execution, and engineering standards. Collaborate with Product, Design, Marketing, Analytics, Machine Learning, and Data Science partners while contributing strategically and remaining technically engaged across front-end and back-end development. Foster inclusive, high-performing team culture and make data-informed decisions amid changing priorities.

Lead a payments engineering squad of 3–7 backend and iOS engineers. Own team delivery, wellbeing, performance, career growth, roadmap execution, technical standards, and cross-functional collaboration. Guide payment architecture and integrations across wallets, withdrawals, refunds, seller onboarding, tax capture, and marketplace transactions while contributing hands-on technical expertise and fostering an inclusive, high-performing engineering culture.

Build, maintain, scale, and improve Depop’s search and recommendation systems serving over one million daily users. Collaborate with product managers, data scientists, mobile, web, and backend engineers to design solutions, write high-quality code, manage workflows and data throughout their lifecycle, and document features. The role includes working with distributed systems, retrieval technologies, databases, message queues, ML-driven systems, testing, DevOps practices, and continuous improvement processes.

Lead and develop a cross-functional backend and iOS squad focused on trust, safety, and compliance. Own delivery, team health, and product outcomes while balancing user safety, fairness, usability, legal obligations, and technical quality. Drive iteration, experimentation, and measurable impact, engage on architecture and technical trade-offs, unblock decisions, and build an inclusive team culture.

Lead strategy and roadmap for Trusted Community to prevent harm across listings, search, and messaging. Own trust signals, risk-based controls, and infrastructure to balance safety with low friction. Partner cross-functionally with Engineering, Trust Detection, Ops, Policy, Legal and CX to reduce counterfeit, scams, and prohibited content while minimising false positives.

The Staff Machine Learning Scientist will design, develop, and maintain machine learning models for Depop's fashion resale platform, leading technical initiatives and collaborating across teams to drive innovation in ML solutions.

Lead Depop's Ranking team to define and deliver ML-driven ranking across Search, Homepage and Recommendations. Set vision and prioritise models, features, infrastructure and experimentation. Partner with ML Engineers, Applied Scientists and product teams to deploy, evaluate and iterate production ranking systems that improve engagement, purchases and marketplace outcomes.

Join the Platform Core team to design, operate, and automate Depop's AWS-based infrastructure. Build and maintain Terraform/IaC, CI/CD pipelines, Cloudflare edge configurations, and platform tooling using Python/Golang. Mentor engineers, participate on-call, improve security posture, and drive platform reliability and developer self-service.

Lead the design and deployment of recommendation systems, mentor team members, collaborate across functions, and innovate using emerging ML techniques.

Depop seeks a Senior Machine Learning Engineer for the Ranking team to develop and maintain machine learning systems for personalized rankings. Responsibilities include designing training pipelines, collaborating with ML scientists, and optimizing model serving systems.

The Senior Data Platform Engineer will architect and build a scalable data platform, enabling teams to manage data with self-serve capabilities using modern tools. Responsibilities include developing microservices, leading technical initiatives, and promoting data governance and observability, collaborating with diverse stakeholders, and mentoring team members.

Lead a new Pricing - Buyer Value engineering squad (iOS + backend), own delivery, team health, and cross-functional alignment. Hire and line-manage 4–6 engineers, partner with Product, Design, ML and Analytics, drive experimentation and data-driven decisions, establish ways of working, and foster inclusive culture, coaching, and career growth.

Product Manager for Core Payments owning roadmap for market expansion, compliance, authentication, balance protection, and payments reliability. Work cross-functionally with engineering, finance, legal, tax, fraud and external vendors to reduce risk and cost while improving authorisation rates, transaction costs, and payments P&L.

As a Senior Data Engineer, you will enhance data governance, improve data quality, and ensure compliance. You'll lead implementations, develop observability systems, and mentor teams to strengthen data reliability across the organization.

As a Staff Backend Engineer, you'll lead the technical vision for Payments and Fulfilment systems, mentor engineers, and ensure scalability and security.

The Staff Backend Engineer will lead the technical vision for Depop's data platform, focusing on data ingestion, scalability, observability, and architecting data solutions while mentoring team members.

As a Senior Data Platform Engineer at Depop, you'll architect and build data platforms, working with various teams to enhance data capabilities, support complex business problems, and promote self-service tools while ensuring operational excellence and effective stakeholder collaboration.

Lead design, deployment, and iteration of large-scale ranking models (recommendations and search). Collaborate cross-functionally, manage end-to-end ML lifecycle, drive research and innovation, and mentor team members while delivering measurable product outcomes.