AI Product Specialist

Responsibilities

• Write, test, and iterate prompts and agent instructions that shape how WHOOP's AI agents behave.
• Source, structure, and maintain the knowledge bases that ground our agents, keeping them accurate and current.
• Build evaluation cases and datasets from real usage and edge cases, and run them in our internal tooling.
• Read traces, spot failure patterns, and help diagnose where agents break: prompt, retrieval, context, or tools.
• Help tell the difference between "passes our evals" and "actually feels good to a member."
• Partner with PMs, AI Engineers, Analytics, and Design, turning their needs into concrete agent improvements.

Qualifications

• Excitement about WHOOP and our mission: you use it (or can't wait to) and care about member health.
• Curiosity about AI: you use these tools yourself and want to understand why they behave the way they do.
• A track record of teaching yourself new tools quickly; you learn by doing.
• Precise, clear writing; you notice when language is ambiguous and tighten it.
• Good judgment, especially around safety and responsibility in a health context.
• Comfort with ambiguity and a bias toward making fuzzy problems concrete.
• No prior product or AI work experience required. Nice to have: hands-on experience with LLMs, prompts, RAG, or AI agents; light scripting (e.g., Python); or a background in behavioral science, coaching, or health.