Retool

Retool

Staff Product Manager, Automation

San Francisco, USA · Staff+

Sponsorship not specifiedDetected 166 days ago
Agentic AIAI OrchestrationProduct Management

About the role

  • You'll operate in a highly ambiguous, fast-moving space: forming a strong point of view on where automation and AI are heading, identifying the highest-leverage product bets, and driving them from early concept through customer adoption.
  • You'll operate at the frontier of applied AI and workflow orchestration: deciding when AI should act autonomously, where humans stay in the loop, and how teams debug, trust, and scale automated systems.

Responsibilities

  • You'll lead the evolution of Retool's automation capabilities-including workflows, integrations, and AI-driven agents-expanding our platform beyond internal apps into end-to-end process orchestration.
  • WHO YOU'LL WORK WITH You'll join Retool's Product team, collaborating closely with engineers, designers, and go-to-market leaders building the future of internal software.

Nice to have

  • deciding when AI should act autonomously, where humans stay in the loop, and how teams debug, trust, and scale automated systems.
  • The problems are open-ended, the surface area is large, and the impact is foundational to Retool's platform strategy.
  • The team is senior, fast-moving, and deeply technical, with experience across high-growth startups and large-scale platforms.
  • The Automation team is responsible for extending Retool beyond internal applications into workflow orchestration and AI agents-powering everything from backend operations to autonomous system coordination.

Benefits

  • you balance long-term vision with pragmatic execution over 6-12 month horizons A collaborative, low-ego work style with the ability to influence cross-functional partners and executives

Company info

  • We're looking for a Product Manager to help define and scale the next generation of automation at Retool.

This listing is sourced directly from Retool's careers page and normalized into a canonical job model.