product
Posted Dec 9, 2025Forward Deployed Product Manager
at Fractional
On-site
Responsibilities
- Shape workflows, edge cases, and evaluation criteria for AI-powered systems. - Drive execution across multiple AI products.
- Run the day-to-day rhythm — planning, check-ins, risk tracking — and coordinate between customers, engineers, designers, and Fractional teammates to keep work unblocked and on time. - Help create demand, not just fulfill it.
Requirements
- ABOUT FRACTIONAL AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand.
- Your job is to turn those goals into AI-powered solutions that work in the real world, and to own the journey from first conversation to live system to real business impact.
- You ask good questions, structure chaos, and turn ambiguity into a plan — moving from whiteboarding with execs to writing a crisp doc for engineers without losing the plot. - Bias for action and ownership.
- You roll up your sleeves and make things happen, whether that's writing a scrappy SQL query, drafting a support playbook, or jumping into a last-minute exec demo. - - Comfort with ambiguity and intensity.
- You can juggle multiple customers, keep priorities straight, and make good calls with incomplete information. - AI curiosity, not AI Dogma.
- You don't need deep AI expertise on day one — you do need strong reasoning, a desire to learn fast, and a willingness to overuse AI in your own workflow.
- The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.
- OUR VALUES - Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team.
- - Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier.