Senior Product Manager - AI
About The Position
Rec is using AI to reimagine how the world plays, participates in community, and gets active. Our vision is simple: more recreation for everyone. We sit at a rare intersection — a consumer product loved by everyday players and an enterprise platform trusted by the organizations that power recreation. We're a small team with firepower. Our founders were among the first few hundred at Uber, then led teams at The Athletic and MasterClass. The rest of the team combines builders from Google, Microsoft, Strava, Hipcamp, and Airbnb. People join Rec for two reasons: you want to build AI that gets people back in the real world, and you want to work with really smart people. AI is a core part of how we're building the future of recreation operations. Rec's AI is designed to be a teammate that's deeply embedded in the core Rec platform so it can complete real staff workflows end-to-end, from finding a receipt to issuing a refund. We're hiring a Product Manager to own Rec's AI strategy end-to-end. This person will lead our AI engineering pod and be responsible for everything from roadmap and prioritization down to prompt engineering and evaluation work. You'll set the direction for Seb and the broader AI product surface, work hands-on with engineers on behavior and quality, and make sure our AI teammates are reliable, trustworthy, and genuinely useful to recreation staff.
Requirements
- 5+ years of product management experience, ideally including AI/ML-powered products
- Hands-on experience with prompt engineering, evals, or working directly with LLMs in production
- Strong technical fluency, comfortable in the details with engineers, not just at the roadmap level
- A track record of shipping and iterating on AI features based on real usage and quality signals
- Excellent judgment on when AI should act autonomously vs. escalate to a human
- Bias toward action and comfort operating in a fast-moving startup environment
Responsibilities
- Own the AI product roadmap — from high-level strategy to day-to-day prioritization
- Lead and partner closely with Rec's AI engineering pod
- Drive prompt engineering and evaluation work to improve agent quality and reliability
- Define and evolve the framework for how AI agents behave, escalate, and earn staff trust
- Partner cross-functionally with design, engineering, and GTM to ship AI features that solve real recreation workflows
Benefits
- Flexible PTO
- top-tier health/dental/vision
- 401(k) plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
