Jobs at Depop

Own and maintain Depop’s Help Centre and AI Agent knowledge. Write, edit, and govern customer-facing and internal support content, ensuring accuracy, clarity, consistency, and alignment across UK and US markets. Establish review processes, identify knowledge gaps, analyze content performance, and prioritize improvements. Partner with product, policy, operations, AI support, conversation design, and continuous improvement teams to keep knowledge current and effective.

Lead and develop Data Engineers and Analytics Engineers while setting technical direction for Depop’s data and analytics engineering function. Own scalable data pipelines, analytical models, semantic layers, data quality, testing, governance, observability, and AI-assisted engineering practices. Partner with Data Science, Product, Finance, and Engineering leadership to deliver trusted data foundations for analytics, machine learning, and AI-driven decision-making.

Leads strategic analysis, company-level performance reporting, and topline GMV forecasting for Depop. Partners with Strategy, Strategic Finance, and executive stakeholders to answer ambiguous business questions, identify growth opportunities, explain performance deviations, and support strategic decisions. The role requires independent analytical judgment, strong communication, cross-functional collaboration, and management of one direct report.

Own the strategy, vision, and roadmap for Depop’s internal API platform and backend enablement capabilities. Partner with engineering, platform, and product teams to understand developer needs, identify service gaps, shape scalable technical solutions, and define success metrics. The role requires strong API knowledge, technical product management experience, stakeholder influence, and the ability to communicate complex initiatives clearly to technical and non-technical audiences.

Build and maintain backend services and APIs supporting disputes, returns, refunds, auto-cancellation, and AI-driven customer support. Develop integrations with order, payment, shipping, and support systems; design reliable, secure, event-driven solutions; and own monitoring, on-call, testing, deployments, and technical debt. Collaborate with Product, Design, Data Science, Payments, Shipping, and CX Operations while running experiments and feature-flagged releases to improve customer issue resolution.

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.

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.

Lead complex, cross-functional technical programmes across Depop and eBay, managing dependencies, risks, stakeholder alignment, reporting, planning, and decision-making. Improve operating systems and delivery practices, use AI to reduce operational friction, coach teams, mentor peers, and communicate effectively with senior leadership. The role requires strong technical and product literacy, strategic thinking, facilitation, influencing, and the ability to operate effectively in ambiguous environments.

Manage cloud financial operations across AWS, Databricks, and Datadog, optimizing cloud spend and driving cost-saving initiatives. Partner with Engineering, Finance, Legal, Vendor Management, and eBay to align cloud usage with business objectives and financial forecasts. Provide actionable insights, support strategic growth, and improve cost visibility in a fast-paced, agile environment.

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.

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.

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

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.

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.

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.

Build and maintain Depop’s internal developer platform, Kubernetes EKS estate, and AWS infrastructure using Terraform. Develop automation, platform integrations, service catalog tooling, and deployment guardrails. Support reliability workflows, observability, incident management, and cross-team infrastructure standards while helping product engineers operate approximately 300 microservices safely and consistently.