Senior Product Manager - AI

Rec Technologies•San Francisco, CA

5d•Onsite

About The Position

Rec is an AI-native operating system designed to be used by both humans and agents. Rec's AI is a teammate deeply embedded in the core RecOS, capable of completing real staff workflows end-to-end, from finding a receipt to rescheduling a class. By 2026, the expectation is that our AI will be capable of performing almost any task a coordinator at a local gym would do to manage programs, memberships, and rentals. This role involves owning Rec's Agentic Platform E2E, including roadmap, prioritization, prompt engineering, and evaluation. The Product Manager will set the direction for the embedded staff agent (Seb) and the broader AI harness across modalities, work hands-on with engineers on behavior and quality, and ensure 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 Agentic Platform 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