As a Senior Machine Learning Scientist at Depop, you'll design and deliver ML solutions for search and ranking, conduct experiments, and collaborate with product and engineering teams.

The Paid Search Manager will develop and execute paid search strategies, manage campaigns, optimize performance, and collaborate with cross-functional teams to drive business objectives.

Lead and scale design across Depop's Demand pillar: set vision and strategy, manage and develop designers, partner with Product, Engineering, Research and Brand, champion design system, accessibility and experimentation, and ensure consistent high-quality UX across iOS, Android and web.

The role involves leading the Community Experience squad to improve customer support tooling and experiences, managing and guiding engineers while ensuring high-quality delivery and effective collaboration across teams.

As a Training Specialist, you will design and implement training programs for employees and outsourced partners, manage training effectiveness, and collaborate with various teams to enhance training materials and delivery. This role aims to improve customer experience operations.

Drive sustainability at Depop by embedding circular principles, managing third-party partnerships, and advising cross-functional teams on integrating sustainability into operations and communications.

The Senior Data Engineer will develop and manage data pipelines and models, enhance engineering efficiency, and mentor junior engineers while supporting various partner teams.

The Senior Specialist will enhance content moderation operations, optimize tools, improve workflows, and drive risk detection initiatives while collaborating with various teams.

As a Senior Data Enablement Engineer at Depop, you will architect and scale the data platform, develop microservices, and lead initiatives across teams to promote data governance and observability practices.

As a Data Engineer at Depop, you'll drive impactful data initiatives, shape data foundations, and deliver reliable data pipelines to support marketing teams.

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.

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

Seeking an experienced Backend Engineer to develop scalable applications, collaborate with cross-functional teams, and produce high-quality code in a fast-paced environment.

As a Product Data Scientist at Depop, you will analyze user behavior, influence product strategy, and design experiments for data-driven decision making across teams.

Lead and mentor a team of Machine Learning Scientists, translate business needs into actionable ML roadmaps, and implement best practices for ML workflows.

The Machine Learning Scientist will develop state-of-the-art models for personalized recommendations, collaborate with teams, conduct experiments, and stay updated with ML advancements.

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.

The Senior Machine Learning Scientist will build ML models and infrastructure to enhance product features, lead technical direction, and mentor junior scientists.

As an Engineering Manager at Depop, you will lead a cross-functional Payments squad, ensuring the delivery of high-quality solutions, fostering team growth, and collaborating across functions.

As a Staff Product Manager, you will lead the development and strategy for community-driven features, ensuring product-market fit while collaborating with stakeholders and utilizing AI to enhance user engagement.