Resumo da vaga

Senior Product Manager- AI Enablement

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Run discovery across the whole company. Sit with finance, sales, support, and ops. Map their workflows. Find the automations and agents worth building, and prioritize by business impact.
  • Prototype the v1 yourself. You'll build working versions of agents and automations with AI tools (Claude, Cursor, agent frameworks), because a working prototype is the best requirements doc.
  • Turn prototypes into specs engineers can build from. You keep a pipeline of well-defined, shovel-ready work so the team always knows what to build next and why.
  • Own quality. Define what "working correctly" means for each automation: evals, guardrails, edge cases, and observability.
  • Keep the team shipping. You'll do the PM work too: clear blockers, make scope calls, and keep projects moving through the build phase.
  • Drive adoption. An automation nobody uses is a failed project. You'll roll out what we build and iterate with the teams whose work changes.
  • Set the vision and roadmap. Define where Rockie and our internal agents go as internal AI grows from a team into a platform.
  • Professional software engineering experience. You've built and shipped production software, and you understand the security risks that come with giving AI systems access to real data and tools.
  • Experience owning a product end to end: as a technical founder, founding engineer, forward-deployed engineer, or PM. Formal PM experience is a nice to have, not a requirement.
  • Deep, hands-on AI experience. You've shipped LLM-powered systems and you build with AI tools daily. You understand agents, evals, and where models fail.
  • Business sense. You can sit with a finance or sales team, understand their process, and spot what's automatable (and what isn't).
  • A 0-to-1 track record. You've built products or tools from nothing.
  • Outstanding written communication. We're a documentation-first culture.
  • The work itself. You'll spend your days building agents and automations with cutting-edge AI tools, at a company that's fully bought in on AI.
  • Competitive pay and equity. Base salary for this role: $225,000 to $300,000.
  • Real benefits. 100% covered health (US), unlimited PTO, 12-16 weeks paid parental leave.
  • Fully remote. Work from anywhere in the Americas.
  • Great culture. Read more about how we work in our public handbook.
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