Senior Product Manager, AI Strategy & Integration

Guidewire Software

23h

About The Position

The Mission: We aren't just adding a chatbot and calling it a day. We are rebuilding the DNA of our platform with Artificial Intelligence at the core. As a Senior Product Manager, you will be the connective tissue between cutting-edge technology and real-world utility. Your goal is to ensure AI isn't a siloed "innovation project" but a fundamental driver of value across every module of our InsuranceNow product. You’ll work with cross-functional teams to identify where AI can automate the mundane, augment the complex, and provide decision support that feels like magic (but is actually just great engineering).

Requirements

Deep working knowledge of LLMs, RAG, Agentic design and concepts, evaluations, and prompt engineering.
Ability to design and run "small-bet" evaluations to validate AI performance and results.
Mapping complex business logic to AI-driven workflows.
You’ve built and shipped AI products that solve real-world problems—not just prototypes.
Demonstrated ability to embrace AI tools in your own workflow to drive your own productivity and innovation.
You use insights, not just intuition to make decisions and continuously improve the product.
You can explain RAG to a stakeholder and ROI to an engineer without losing anyone in translation.
You thrive in the "grey area" of emerging tech and can pivot when the data (or the model) changes.

Nice To Haves

Experience with Claude Code and writing skills are a plus.
Understanding the nuances of Property & Casualty insurance, or other highly regulated industry.
You have experience navigating the regulatory and data privacy complexities of the P&C Insurance industry.

Responsibilities

Assess products and workflows to identify high-impact opportunities for AI-enabled processes and use cases. Map use cases to clear outcomes and define the necessary guardrails.
Partner with PMs across all areas of the product to "AI-enable" their roadmaps. Act as the internal consultant who helps them see the "how" and "why" of AI workflows and orchestration.
Run lean experiments and evaluations with rigorous success criteria to prove value before scaling, and guide other PMs on how to run experiments and evals in their product areas.
Triage user feedback, reproduce issues, file crystal-clear bugs, and maintain a high standard of backlog hygiene for AI-specific work.
Help shape the future of our product and set the standards for how AI is applied within the industry.