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CrewAICrewAISan Francisco, CA

Product Manager, Agent Experience

Drive the roadmap for a no-code Studio builder and agent interaction surfaces. Requires several years of PM experience building AI/agentic products, strong technical collaboration, and enterprise customer engagement.

Salary not listed
On-siteProduct Management

About the role

What you'll do

  • Drive the agent-experience roadmap — discovery, prioritization, and delivery — for our Studio no-code builder and the broader agent-interaction surface.
  • Develop a sharp point of view on what to build first and what to hold back, in a space where you could justify almost anything.
  • Work shoulder-to-shoulder with engineering and design from the earliest stage. We believe the best products come from collaborative, non-sequential solutioning and healthy tension between craft, pragmatism, and technical reality — not from specs handed down a line.
  • Partner closely with our Platform PM, who owns runtime, tooling, RBAC, and our governance offering, to make agent experience and platform interlock cleanly.
  • Spend real time with customers — many of them large, less-technical enterprises — and translate what you learn into product, without becoming a pure feature-request conduit.
  • Ship on a two-week cadence: every cycle, something real we can point to.

Requirements

  • Several years of product management experience, including shaping a product or surface through meaningful ambiguity.
  • Direct experience building AI/agentic products — ideally agent platforms, no-code/visual builders, or developer-facing tools — and real fluency with how modern agents are built and evaluated (prompting, tool orchestration, evals).
  • A track record of operating independently and taking genuine ownership of outcomes. You don't need a lot of scaffolding to move.
  • Strong collaborator with engineering and design; comfortable bringing a technical point of view (and a rough prototype) to the table and having it challenged.
  • Sharp prioritization instincts and the discipline to say no.
  • Comfort in front of enterprise customers, and comfort with imperfect data.

Nice-to-haves

  • Experience with open-source-driven or PLG-into-enterprise motions.
  • Hands-on with AI tooling in your own workflow.

Skills

Product ManagementAi/Agentic ProductsNo-Code BuildersPrompt EngineeringTool OrchestrationEvaluationsEvalsRoadmappingStakeholder CollaborationEnterprise Customer EngagementPrototyping
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