Search the 13 jobs at Depop

The Product Data Scientist will support product teams with analytical requests, helping identify opportunities, measure effects through experimentation, and track key metrics using dashboards and visualizations. This role involves strategic thinking for product improvements and a comprehensive understanding of the business ecosystem.

As a Senior MLOps Engineer, you'll design and maintain platforms for model training, deployment, and monitoring while collaborating with ML Scientists and Backend Engineers to enhance ML model delivery processes and operational excellence.

The MLOps Engineer at Depop will design and maintain platforms for ML model training, deployment, and monitoring. This role involves enabling ML Scientists, ensuring operational excellence, and contributing to engineering culture through innovation and improvements.

As a Senior Backend Engineer, you'll design solutions in collaboration with Engineering Managers and Data Scientists, produce high-quality code for a large user base, manage production incidents, and engage in agile methodologies. You will own your code through its lifecycle and contribute to a culture of continuous improvement.

The Data Scientist will research, design, and deliver machine learning solutions for Depop's selling experience, focusing on multimodal language models and computer vision. Responsibilities include collaboration with cross-functional teams, conducting experiments, and staying current with machine learning advancements.

The Product Designer will work with the Connect team at Depop to enhance user communications by designing more effective in-app channels and tools. Responsibilities include crafting strategies for user engagement, optimizing communication features, and collaborating across teams to empower users with better control over notifications.

The Partnerships and Activations Manager will identify and manage new and existing partnerships, lead community activations, oversee project management for campaigns, and handle client relations for onboarding and payments.

The Product Operations Specialist will serve as a liaison between Product Managers and the Customer Experience team, providing feedback on product changes and supporting the implementation of new initiatives. Responsibilities include overseeing ongoing projects, collaborating with stakeholders, creating processes for the CX team, and improving operational efficiency.

As an Engineering Manager at Depop, you will lead a cross-functional team in the Adtech domain, focusing on delivering high-quality solutions and driving results while supporting team performance and career growth. You will collaborate with various departments to align goals and foster a culture of inclusivity and feedback.

The Seller Account Executive is responsible for building relationships with sellers, offering guidance and support to enhance their success on the platform. Key tasks include conducting personalized consultations, analyzing seller performance, leading webinars, and collaborating with internal teams to advocate for seller needs.

The Backend Engineer will collaborate with cross-functional teams, producing high-quality code for a platform with over 1 million daily users. Responsibilities include design solutions, document feature development, and participate in agile methodologies. The role also involves working independently to solve complex problems while engaging in a culture of continuous improvement.

The Workplace Manager will lead and enhance the office operations and culture at Depop. Responsibilities include managing front-of-house operations, planning and executing employee events, overseeing food programming, and supporting budgeting and vendor relationships.

The CRM Data Ops Manager will ensure data accuracy, compliance, and hygiene across platforms, champion email deliverability practices, oversee experiment implementation, and translate data insights into actionable strategies. They will collaborate with cross-functional teams, serve as the go-to CRM contact for data issues, and maintain a strong understanding of the data pipeline's impact on CRM performance.