Key technologies and capabilities for this role
Common questions about this position
This role is based in the WHOOP office in Boston, MA, and the successful candidate must be prepared to relocate if necessary to work out of the Boston office.
Candidates need 4+ years in a deeply analytical role, advanced SQL skills, understanding of ELT (dbt), data warehousing (Snowflake), and data visualization tools like Amplitude, Sigma, or Hex. Expertise in experimental design including A/B testing and causal inference is also required, with Python as a plus.
This information is not specified in the job description.
A strong candidate has 4+ years in a deeply analytical role preferably in AI or product environments, demonstrated ability to work in ambiguity by structuring problems and surfacing recommendations, and deep curiosity about AI with a drive for member experience.
The role partners with Product, Engineering, Data Science, UX, Strategic Finance, software engineers, UX Research, and Member Insights teams to drive AI strategy and insights.
Wearable fitness tracker with personalized insights
WHOOP offers a fitness membership that focuses on improving personal health and performance through a wearable device called the WHOOP Strap 3.0. This device continuously collects physiological data, including heart rate, sleep patterns, and recovery levels, to provide users with personalized recommendations on their daily activity, sleep needs, and readiness for performance. Unlike many competitors, WHOOP operates on a subscription model, where users pay a fee to access the membership, which includes the device and continuous insights through the WHOOP app. This model not only provides a steady revenue stream but also fosters a strong community among users, encouraging engagement through teams, challenges, and social features. The goal of WHOOP is to help users optimize their health and performance while minimizing injury risk.