AI Product Manager ( 2-4 years, 35L )

This role is for one of our Partner Companies,Fintech $ 40M Series C, ( Comp 30- 35L )What You'll OwnEnd-to-end voice AI agent. Own the full product: conversation design, prompt engineering, model selection, and harness architecture.Stack definition. Evaluate and decide the voice AI stack, from speech-to-speech versus speech-to-text pipelines to the right model for each use case.Eval framework. Design and run the evaluation harness that tells you when the agent is good enough to ship and when it is not.Prospect engagement flows. Build the outbound scheduling agent that replaces the human-in-the-loop call booking process.Inbound query resolution. Own the agent layer that answers prospect questions on how the product works, funding, and onboarding.Vendor-to-in-house migration. Bring the existing reminder-calling capability in-house and extend it upstream into full scheduling.You'll Be A Great Fit IfBuilt and shipped a conversational or voice AI product. You have a working agent to point to, not just a course certificate.Designed prompts and evals yourself. You have written, iterated, and scored prompts without waiting for an engineer to do it for you.Chosen a model stack for a real use case. You have compared models, weighed trade-offs, and made the call on what to deploy.Operated without a playbook. You have defined the approach in an ambiguous space and shipped something that worked.Tracked the voice AI landscape actively. You can speak to what changed in the last six months and what it means for product decisions.Worked at the intersection of product and engineering. You understand enough of the technical layer to hold your own in architecture conversations.