Senior Product Manager, Agentic AI

Jerry.ai•San Francisco, CA

About The Position

Jerry.ai is building the first super app to manage car ownership, an industry with a fragmented, $2T market. This role involves leading a strategic area that leverages LLMs, agents, and internal APIs to automate processes. You will work alongside AI leaders to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. The position is at the intersection of product, engineering, and applied AI, focused on building and scaling a sophisticated system that already automates over 70% of inbound sales and service requests. The role requires defining how modern LLM systems, human-in-the-loop feedback, and computer-use agents can redefine an entire industry, rather than just optimizing existing flows.

Requirements

4+ years of experience in management consulting or technical product management at a fast-paced startup.
Proven interest in modern LLM systems and a desire to work in a regulated production environment.
Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards.
A track record of taking complex, strategic ideas and turning them into scalable, production-grade products.
Intrinsically Motivated Technologist: You live and breathe AI. You’re the first to read the release notes when a new model drops and you’ve already built your own custom workflows.
Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience.
Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics.
Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses.

Responsibilities

Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to global rollout.
Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.