Senior Product Manager, AI

Reposted 6 Hours Ago
Easy Apply
Boston, MA, USA
Hybrid
125K-170K Annually
Mid level
Fitness • Hardware • Healthtech • Sports • Wearables
Power your performance with 24/7 data
The Role
The Product Manager II, Agent Development at WHOOP will design and improve AI agents for health coaching, collaborate with various teams, and ensure effective communication and user understanding across platforms.
Summary Generated by Built In
At WHOOP, we’re on a mission to unlock human performance and extend healthspan. We empower our members with real-time, longitudinal health insights that help them understand how their daily choices compound over time—enabling better long-term health and lasting behavior change.

We are looking for a Senior Product Manager, AI to help shape the future of WHOOP as an intelligent, personalized health companion.

In this role, you will craft the AI experience layer and the underlying intelligence systems that power it, defining how WHOOP understands members, reasons over their data, and delivers insights that are accurate, empathetic, and actionable.

You will work at the intersection of AI, product, and behavior change, partnering with AI Engineers, Data Scientists, and Performance Science to build systems that transform raw health data into meaningful, personalized coaching experiences.

RESPONSIBILITIES:

    • Define and evolve 0 to 1 AI experiences across WHOOP, including proactive insights, coaching surfaces, and interactive experiences
    • Ensure outputs are not just technically correct, but clear, motivating, and personalized to each member
    • Define how member context (physiology, behaviors, goals, history) is translated into meaningful, personalized insights
    • Partner with Data Science and Performance Science to determine which signals and patterns drive the highest impact on health outcomes
    • Design and iterate on AI systems (including agents, tools, and reasoning layers) that analyze data, generate insights, and deliver coaching
    • Partner with AI Engineering to define system architecture, including orchestration, tool usage, memory, and fallback behaviors
    • Drive a roadmap that balances foundational AI capabilities (data models, memory, evaluation systems) with high-impact member experiences
    • Identify opportunities where new capabilities unlock step-function improvements in personalization and coaching quality.
    • Turn ambiguous problems (e.g., “members don’t understand recovery” or “coaching feels generic”) into clearly defined product opportunities, system designs, and shipped experiences
    • Define clear inputs, outputs, and success metrics for both systems and features
    • Establish what “good” looks like across AI outputs: correctness, personalization, actionability, tone, and trust
    • Build and own evaluation frameworks using qualitative and quantitative signals to drive continuous improvement

QUALIFICATIONS:

  • 5–8+ years of product management experience, with at least 1+ year working on AI/ML or LLM-powered products
  • Experience shipping consumer-facing AI features, with a strong intuition for what makes experiences useful, trustworthy, and engaging
  • Strong understanding of LLM systems, including prompt design, RAG, tool usage, and system tradeoffs
  • Comfortable collaborating deeply with engineers on system design without needing to build models yourself
  • Proven ability to design end-to-end product experiences, not just underlying systems
  • Strong instincts for how to translate complex data into simple, actionable user experiences
  • Exceptional writing and communication skills, with a deep understanding of how language shapes user trust, motivation, and behavior change
  • Experience designing conversational or AI-driven experiences (e.g., prompts, coaching narratives, UX flows)
  • Ability to break down ambiguous problems into structured systems, workflows, and product requirements
  • Experience thinking across platform + product layers, and how shared capabilities scale across use cases
  • Ability to define success metrics, evaluate system performance, and diagnose failures
  • Strong judgment in balancing short-term delivery with long-term system quality and scalability
  • Comfortable operating in ambiguity and driving clarity in fast-moving environments
  • Motivated by building products that improve people’s health and lives

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
 
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
 
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
 
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
 
The U.S. base salary range for this full-time position is $155,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Top Skills

AI
Data Analysis
Llm
Prompt Engineering
Systems Architecture

What the Team is Saying

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Manan Dedhia
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The Company
HQ: Boston, MA
500 Employees
Year Founded: 2012

What We Do

At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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WHOOP Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week
HQBoston, MA
Limerick, Limerick, V94 4D83 Ireland
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