Peloton is seeking a Manager, Product Analytics Engineering to build and grow a data engineering pod within the Product Development Team responsible for Peloton Bike, Tread, as well as Digital and TV Apps. Product Analytics Engineering is a partner function for the Product Analytics team focused on helping its stakeholders discover and measure opportunities for improving user experience, and connecting the dots between product decisions and business outcomes.


Data Product Management and Operations:

  • Act as a functional custodian of the software/hardware product interaction data
  • Synthesise inputs from product analytics engineers, the centralized data team, and cross-functional stakeholders to build out the product analytics engineering team roadmap and long-term scaling strategy
  • Own relationships with key vendors within product analytics / product analytics engineering tech stack
  • Represent product analytics team in cross-departmental vendor assessments and buy/build decision making processes
  • Act as the GDPR/CCPA/other data collections privacy laws expert within the product development team

Data Modeling:

  • Contribute to the team’s body of work, assisting with data models and automation jobs of higher complexity 
  • Oversee business-facing documentation related to key models and key metrics’ calculation


  • Effectively coach and empower analytics engineers when it comes to data modeling, ETL, and automation best practices; identify appropriate learning opportunities and resources for skill development from coding and tool-specific skills to product and process management
  • Conduct code reviews and assist engineers with debugging and optimization, as needed
  • Refine team processes, while championing lean and proactive approach, as well as building strong relationships with customers (product analysts)


  • Have 4+ years of experience as an analytics engineer / data engineer working closely with a functional analytics team
  • Have 2+ years of experience managing and developing individual contributors and are interested in remaining on a people leadership path
  • Either through hands on experience or through close collaboration have built deep understanding of data analyst/data scientist workflows, can anticipate the level of complexity and asses speed vs. precision tradeoffs for common project types
  • Have high level of proficiency in data modeling using SQL and Python, have done hands on modeling recently and don’t mind regularly ‘getting your hands dirty’ with the data alongside your strategic and leadership duties
  • Have a strong understanding of data warehousing concepts and ETL. Hands on experience with AWS ecosystem is a plus
  • Have experience with pipeline management technologies with dependency checking (e.g. Airflow, dbt), schema design, and dimensional data modeling
  • Have hands on experience with data lakes and/or distributed streaming platforms and their use cases for user interaction data collection and enrichment
  • Are intimately familiar with event-based data collection principles and related software tools/CDPs (e.g. Segment, Amplitude,  Mixpanel, custom in-house built solutions), have experience investigating all ins and outs of the tracking SDK instrumentation on different software platforms and of downstream integrations with product analytics and marketing tools
  • Have a good understanding of the vendor landscape when it comes to data analysis and machine learning platforms and tools, such as Looker, Mode, Databricks, SageMaker etc.
  • Are experienced in conducting cross-functional vendor evaluation, request for proposal (RFP) and proof of concept (POC) processes
  • Can influence without authority and effectively advocate for your team’s needs, while taking into account cross-functional trade offs, product experience, and cost implications


  • Previous experience working on or with a product analytics team (as an analyst, data scientist, data engineer) on a B2C software product
  • Some experience with software performance and quality measurement platforms (e.g. DataDog, New Relic, BugSnag etc.)
  • Understanding of GDPR/CCPA implications for product data collection and downstream usage
  • Strong interest in data visualization, dashboard design


Peloton uses technology + design to connect the world through fitness, empowering people to be the best version of themselves anywhere, anytime. We have reinvented the fitness industry by developing a first-of-its-kind subscription platform. Seamlessly combining hardware, software, and streaming technology, we create digital fitness and wellness content and products that Members love. In 2020 Peloton committed to becoming an antiracist organization with the launch of the Peloton Pledge. Learn more, here.

“Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. In order to be the best version of Peloton, we are deeply committed to building a diverse workforce and inclusive culture where all of our team members can be the best version of themselves. This work has no endpoint; it is the constant work of running an organization that strives to reach its full potential. As a first step in our commitment, we announced the Peloton Pledge to invest $100 million over the next four years to fight racial injustice and inequity in our world, and to promote health and wellbeing for all, from the inside out.

Peloton is an equal opportunity employer and committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email:


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. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an email address. 

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email before taking any further action in relation to the correspondence.


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