Senior Product Manager, Agentic AI

Jerry.ai•Palo Alto, CA

About The Position

This role will lead the evolution of Jerry.ai's AI-powered customer experience and internal AI platform. The challenge is to own a strategic area of the company focused on leveraging large language models, agents, and internal APIs to deliver automated customer support and operations. The position sits at the intersection of product, engineering, and applied AI, requiring both strategic thinking and hands-on exploration with modern LLM systems. The role involves building and scaling a sophisticated AI system that includes a production-grade conversational AI experience automating over 70% of inbound sales and service, human-in-the-loop systems for chat evaluation and improvement, internal process automation flows, and integration with the ChatGPT App for insurance and repair quotes in partnership with OpenAI. The responsibilities also include evaluating new models and AI capabilities, such as voice models and computer use agents, for suitability in a regulated production environment.

Requirements

4+ years of experience in technical product management, management consulting, data analytics, or operations at a fast-paced startup.
Passionate about AI and intrinsically motivated to get hands on with the latest technology.
Technologist and a systems thinker.
Comfortable in technical conversations about system architecture, API design, and prompt engineering.
Able to translate complex ideas into simple terms for non-technical stakeholders.
Data-driven, familiar with SQL, and comfortable diving into data to answer your own questions.
Likes to own metrics and constantly seek improvement.
An optimist who asks 'how can we' not 'if we can.'

Responsibilities

Lead end-to-end product development for Jerry's AI-powered customer experiences and internal AI platform, from roadmap to rollout.
Partner with engineers and prompt engineers to design and iterate on AI architectures, prompt strategies, evaluation frameworks, and guardrails — making real tradeoffs between latency, cost, accuracy, and user experience.
Be the bridge between engineering and the rest of the org: lead by example for AI best practices and get other teams on board with platform standards.
Own the metrics that matter — answer quality, customer satisfaction, automation rate, escalation quality — and drive systematic improvement through data and experimentation.
Work directly with our partners at OpenAI to evaluate new models and capabilities, and identify the next big leaps in voice, computer use, and workflow automation.