Tremendous
Senior Product Manager- AI Enablement
Remote Product role with clear candidate location fit.
PostedJul 7, 2026
Eligible countries27 accepted countries
Seniority signalLead
Work settingRemote
Accepted candidate locations
Role overview
Senior Product Manager- AI Enablement
Requirements and responsibilities
Readable role content extracted into sections for faster review.
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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