Product Engineer

Summary

Job Description

Key Responsibilities:

Feature Delivery: Build REST APIs wire up frontend components and implement feature logic for assigned AI productization projects. Use AI coding tools (Claude Code Copilot) to accelerate delivery.

Strike Team Execution: Work as the dedicated dev on standard-complexity projects or as the second dev on a flagship project under a Senior Product Engineers lead.

Platform Consumption: Build on top of the teams shared CI/CD auth vector DB and UI/UX foundations. Surface friction points back to the platform team.

AI Integration: Integrate LLM-backed components together with your AI Engineer partner invoke prompts handle responses wire up observability. You will apply the teams AI integration patterns contribute your perspective on how theyre used and partner with your AI Engineer on the deeper modeling work.

Code Quality: Write clean tested reviewable code. Participate actively in code review and design discussions.

Continuous Learning: Grow into a Senior Product Engineer over time by deepening dev skills and broadening AI integration understanding.

KPIs & Success Metrics

On-time delivery of well-scoped features within Strike Team commitments.

Code quality: review pass rate test coverage and low defect escape.

Successful integration of AI components into production paths.

Effective consumption of platform blueprints minimal reinvention friction surfaced back to the platform team.

Demonstrated growth toward Senior Product Engineer competencies.

Key Skills & Experience

Education: Bachelors degree in Computer Science Software Engineering or a related technical field.

Experience: 3 years of software engineering experience in a production environment.

Technical Proficiency:

Solid skills in at least one production backend language (Java Python or TypeScript).

Working REST API design experience and comfort with SQL databases.

Familiarity with at least one frontend framework (React preferred).

Comfort using AI coding assistants (Claude Code Copilot) for daily development.

Working familiarity with Git workflows automated testing and CI/CD.

Engineering Excellence: Demonstrated ability to ship well-scoped features in close collaboration with senior engineers. Strong judgment about when to partner with specialists and when to escalate.

Mindset: Curious about how AI features are built end-to-end comfortable working in pair-programming or close-collaboration settings.

Preferred Skills & Experience

Cloud: Hands-on experience with any AWS services (Lambda ECS RDS API Gateway).

AI Exposure: Any prior exposure to LLM APIs or RAG-based applications.

Guidewire Knowledge: Familiarity with Guidewire products is a plus but not required.

About Guidewire

Guidewire is the platform P&C insurers trust to engage innovate and grow efficiently. We combine digital core analytics and AI to deliver our platform as a cloud service. More than 540 insurers in 40 countries from new ventures to the largest and most complex in the world run on Guidewire.

As a partner to our customers we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600 successful projects supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration localization and innovation.

For more information please visit and follow us on Twitter: @GuidewirePandC.

Guidewire Software Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace and believe that a diversity of perspectives abilities and cultures is a key to our success. Qualified applicants will receive consideration without regard to race color ancestry religion sex national origin citizenship marital status age sexual orientation gender identity gender expression veteran status or disability. All offers are contingent upon passing a criminal history and other background checks where its applicable to the position.