Senior AI Product Manager, Agentic Platform

Rec; San Francisco (CA); Vor Ort; USD 140.000 - 200.000; Vollzeit

Benefits dieser Stelle

Flexible PTO

Top-tier health/dental/vision

401(k) plan

Zusammenfassung

Rec is hiring a Product Manager to own Rec's Agentic Platform end-to-end. You’ll oversee roadmap and prioritization, and work hands-on with engineers on behavior and quality of Rec’s embedded AI teammates.

You’ll set direction for Seb and the broader AI harness, collaborating with design, engineering, and GTM to deliver AI features that address real recreation workflows while ensuring reliability and usefulness for staff.

Qualifikationen

• 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. elevate to a human.

Aufgaben

• 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, elevate, and earn staff trust.
• Partner cross-functionally with design, engineering, and GTM to ship AI features that solve real recreation workflows.

Kenntnisse

Product management

AI/ML experience

Prompt engineering

Cross-functional collaboration

Technical fluency

Decision making

Ausbildung

Bachelor's degree in CS/Engineering

Tools

LLMs

Python

Jobbeschreibung

Rec is hiring a Product Manager to own Rec's Agentic Platform end-to-end. You’ll oversee roadmap and prioritization, and work hands-on with engineers on behavior and quality of Rec’s embedded AI teammates.

You’ll set direction for Seb and the broader AI harness, collaborating with design, engineering, and GTM to deliver AI features that address real recreation workflows while ensuring reliability and usefulness for staff.