Peloton Technology
Sr. Product Manager
New York, New York · Senior
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About the role
- The ideal candidate will feel comfortable driving both product strategy and execution and is excited to navigate the changing landscape of AI technologies.
Responsibilities
- Partner with Content and Marketing to align content programming with product features that help current members get the most value from their membership and attract new subscribers.
- Collaborate closely with other Software PMs to ensure a holistic connected experience across features and content types.
- Drive features to launch by translating product requirements into engineering requirements and testing criteria, performing User Acceptance Testing and designing experiments in collaboration with Engineering, Program Management and Analytics partners.
Requirements
- 5+ years of Product Management experience, with 1-2 years focused on AI/ML products and a record of driving measurable impact on user growth and engagement.
- Experience with search, complex metadata and ML-based recommendation systems.
- Experience partnering cross-functionally to define quantitative evaluations for AI products to ensure they are accurate, safe and aligned with the brand.
- Exceptional communication skills, especially the ability to work closely with experts in a different field, understand their needs and translate them into strategy, features and tools
- ability to act autonomously
- Experience in consumer subscription models and driving growth through subscription-based features.
- Experience working on a consumer software product with integrated hardware.
- Direct experience shipping consumer AI products, understanding of the nuances of building conversational interfaces and balancing tradeoffs between model cost, latency and accuracy.
- Strong UX sensibility and experience triaging and responding to user feedback.
- Highly collaborative and willing to give and accept constructive feedback
- Self starter
- Strong quantitative, analytical, and problem solving skills
- Constant attention to detail
Compensation
- $173,500 - $213,100 USD
- This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.
- Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training.
Benefits
- Lead strategy and execution for key Personalized Guidance features, creating innovative product experiences that drive engagement and improve fitness outcomes.
- Work with Fitness Experts, User Research and Analytics to develop a deep understanding of both our Members and the fitness space to ensure the product roadmap is grounded in user needs and fitness science.
- Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey.
- At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content.
Company info
- Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria.
- At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members.
Equal opportunity
- Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
Visa & Work Authorization
- eran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial s
This listing is sourced directly from Peloton Technology's careers page and normalized into a canonical job model.