Jobs at Depop

Build and maintain Kafka Connect services and streaming data pipelines for Depop’s data platform. Extend the bronze streaming layer, implement data contracts and freshness checks, develop quarantine and alerting systems, support event onboarding and troubleshooting, document technical decisions, and collaborate with senior engineers and teams across data infrastructure, ML, and insights.

Lead the research, design, productionization, and scaling of machine learning models for pricing and shipping optimization. Own high-impact projects, conduct rigorous experiments, apply causal inference and optimization techniques, collaborate with engineers and cross-functional stakeholders, communicate findings, and mentor junior team members.

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.

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.

Design end-to-end experiences that help new Depop sellers make their first sale, including onboarding, listing flows, milestones, and trust signals. Partner with Product, Research, Data, Engineering, and CRM teams to translate insights into simple, motivating user experiences. Apply UX, UI, prototyping, experimentation, behavioral design, and design-system thinking while contributing to product strategy and roadmap development.

Own end-to-end machine learning systems for Depop’s Trust Detection team, addressing phishing, counterfeit goods, fraud, abuse, and prohibited content. Responsibilities include problem framing, data strategy, deep learning and LLM development, multimodal modeling, deployment, experimentation, evaluation, and production iteration. The role partners with Trust, Policy, and Product teams to build scalable, robust systems in ambiguous and adversarial environments and communicate technical trade-offs and impact.

Build and maintain iOS payment experiences for wallet balances, checkout, withdrawals, refunds, seller onboarding, and tax capture. Contribute to migrating payment surfaces from UIKit to SwiftUI, write automated tests, handle complex state and edge cases, and own features end to end. Collaborate with backend engineering, product, design, and senior engineers while supporting globally compliant marketplace payment flows.

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.

The Finance Integration Lead will manage finance systems integration, lead process design, ensure communication, and manage risks while supporting the transition to new ERP systems.

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.

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.

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.

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.

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.