About the position
Our Underwriting Solutions guild is taking a bold step forward: we are building Guidewire’s first AI‑native application from the ground up; a fully digital submission state machine that carries risks seamlessly from new to renewal with unmatched speed, accuracy, and minimal human touchpoints. This initiative leverages every component in our cloud and AI platform and aims at leveraging the latest technology to provide the backbone and flexibility insurers need to digitize their processes and design e2e underwriting workflows. To help us deliver on this vision, we are looking for a Product Manager (PM or Sr PM, depending on experience) who can bring hands on, technically fluent leadership across data science best practices around data ingestion, extraction, risk assessment and platform integration.
Responsibilities
- Customer discovery and research: Work closely with underwriters and UX/Research to uncover high-impact problems and frame scalable solutions ensuring our solutions solve real UW pain points.
- Data science and AI expertise: Bring hands-on expertise in ML, LLMs, prompt design, retrieval-augmented generation, and guide the ML team in selecting models, tuning workflows, and measuring performance.
- Delivery and execution: Partner closely with engineering pods on the day-to-day execution of prompt design, ingestion workflows, and extraction capabilities across various file types.
- Metrics and iteration: Define evaluation frameworks across tools, champion rapid experimentation, and communicate KPIs broadly across teams.
- Platform translation: Become deeply fluent in Platform building blocks and act as the translation between technical teams and business stakeholders.
Requirements
- 3–7 years building B2B SaaS or data products, with 2+ years directly responsible for ML or LLM features.
- Experience in prompt engineering and 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.
- Experience with user research, data-driven prioritization, and roadmap development.
Nice-to-haves
- 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.
Benefits
- Health, dental, and vision insurance.
- Paid time off.
- Company sponsored retirement plan.
- Eligibility for annual company bonus plan, commissions, and/or long term incentive awards.
