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As a Data Scientist at Peloton, you'll be responsible for optimizing operations using data and insights, performing deep dive analysis, collaborating with cross-functional partners, building and maintaining data-driven models, and communicating recommendations to stakeholders.

The Editorial Coordinator will support the editorial team in ensuring operational efficiency and driving growth on Peloton's owned editorial outlet, The Output. Responsibilities include managing day-to-day operations, streamlining workflows, supporting administrative needs, optimizing content, and tracking spend towards editorial budget.

Lead a team of engineers in developing and improving customer engagement experience for Peloton Bike or Tread products. Motivate team members, collaborate with cross-functional teams, establish performance indicators, promote engineering efficiency, and ensure timely delivery without compromising quality.

Senior Software Engineer responsible for stabilizing and scaling core backend applications, enabling migration to new microservices, ensuring scalability during peak times, and collaborating with cross-functional teams.

Peloton is seeking a Field Support Manager for its Service & Repair team to improve the repair experience for members, work with internal and external teams, and drive performance of hourly associates. Responsibilities include utilizing data to identify gaps, tracking performance metrics, improving communication with 3PL providers, and leading a team of specialists. The ideal candidate has experience in supply chain/logistics, leadership, data analysis, and a Bachelor's degree in a business-related field.

Lead and manage the daily operations of the Member Support team to ensure consistent and exceptional on-brand experiences for Members. Drive operational excellence, efficiency, and team motivation. Collaborate cross-functionally with business partners. Analyze metrics to drive improvements in Member experience. Recruit, hire, and engage team members. Maintain seamless communication with stakeholders.

The Machine Learning Engineer at Peloton will be responsible for optimizing engagement and discovery of Peloton content through AI and ML techniques. They will collaborate with cross-functional teams to drive member engagement and work on improving ML pipelines for content recommendations.