Product Owner, Agentic AI

Jerry.ai•San Francisco, CA

1d•$160,000 - $200,000

About The Position

Jerry.ai is building the first super app to manage car ownership, an industry where the experience is stuck in the 90s. This role will lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. The position involves working with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. At Jerry.ai, the focus is on moving past fragmented, time-consuming processes to create a seamless, automated platform. The role sits at the intersection of product, engineering, and applied AI, building and scaling a sophisticated system that already automates over 70% of inbound sales and service requests (over 50k chats per month). The responsibilities include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry.

Requirements

4+ years of experience in management consulting or technical product management at a fast-paced startup.
Proven interest in modern LLM systems.
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.
Familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses.

Nice To Haves

Intrinsically Motivated Technologist: You live and breathe AI. You 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.

Responsibilities

Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to 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.