Top Tech Jobs & Startup Jobs

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.

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.

Join the Payments cross-functional team to design and build scalable backend services used by millions. Produce high-quality code, collaborate with product and design, follow agile practices, own testing and reliability, and iterate using A/B testing and data-informed decisions.

Lead Depop's visual direction across campaigns and marketing channels, driving concepts and hands-on art direction from idea to execution. Maintain and evolve brand identity, mentor designers, collaborate cross-functionally and with agencies, present work to stakeholders, and surface cultural partnerships and US-focused visual insights.

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.