Product Manager

Key Responsibilities

• Customer discovery and research: Customer first and research mentality where you will work closely with underwriters and UX/Research to uncover high-impact problems and frame scalable solutions ensuring our solutions solve real UW pain points and bring in that knowledge into our development and ML teams for design and prioritization.
• Data science and AI expertise: Bring hands‑on expertise in ML, LLMs, prompt design, retrieval‑augmented generation, design AI agents per use case and LOB tasks, evaluation loops and guide the ML team in selecting models, tuning workflows, and measuring performance to improve performance.
• Delivery and execution: partner closely with engineering pods on the day to day execution of prompt design, ingestion workflows and extraction capabilities across file types (xls, csv, pdfs, ACORD forms, slips, etc). Drive the development of products and solutions that make this data easily consumable by other agents deployed in other areas of the UW solutions application focusing on enabling consumption and seamless automation of this data with other downstream products.
• Metrics and iteration: define evaluation frameworks across tools. Champion rapid experimentation when results fall short and communicate KPIs broadly across teams as well as leanings that may help other teams as well as developing a framework for measuring usability and success of each feature released to customers that can be tied to value.
• Platform translation: Become deeply fluent in Platform building blocks and act as the translation between technical teams and business stakeholders, ensuring every feature advances our vision and delivers customer value.

Experience guidelines

• 3–7 years building B2B SaaS or data products, with 2+ years directly responsible for ML or LLM features.
• Experience in prompt engineering, building evaluation frameworks
• Prior exposure to insurance core system integrations (e.g. InsuranceSuite ) is highly desirable.
• Insurance domain knowledge particularly in Commercial Lines insurance, including cyber, property, and liability (or a hunger to learn the domain fast)
• Experience with user research, data driven prioritization and roadmap development.

Bonus Experience

• Practical experience with data labeling pipelines and model evaluation frameworks.
• Experience using RAG, LangChain, SageMaker or similar tech.
• Experience building AI agents, MCP servers or ML models and ability to defend the best solution depending on the problem at hand.


The US base salary range for this full-time position is $138,000 - $245,000 . Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to [email protected]. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail [email protected] to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.