Job Description

Key Responsibilities

• Lead and grow multiple AI Services engineering pods, providing clear direction, coaching, and career development for engineers across all levels.

• Champion the effective use of AI coding tools across your pods, modeling how engineering teams can dramatically accelerate their own productivity.

• Set expectations, give regular feedback, and manage performance to build high-performing, inclusive, and accountable teams.

• Partner with senior engineers and architects to guide technical and architectural decisions for AI platform services — including LLM integrations, agentic frameworks, RAG pipelines, and MCP servers — focusing on scalability, reliability, and security.

• Collaborate closely with Product Management, Security, and other engineering leaders to align the AI Services roadmap with business and customer needs.

• Own end-to-end delivery for the AI Services organization — from planning and prioritization through execution, rollout, and ongoing improvement.

• Proactively identify risks, remove blockers, and ensure your pods consistently meet agreed SLAs/SLOs and quality standards.

• Foster a culture of curiosity, continuous improvement, and psychological safety where engineers are encouraged to experiment, learn, and grow.

Required Qualifications

• 15+ years of software engineering experience, with a strong background in building SaaS and/or PaaS products at a product company.

• Significant experience in people management (typically 6–8+ years), including hiring, performance management, coaching, and career development of software engineers.

• Proven experience leading multiple engineering teams or pods, accountable for delivery, reliability, and developer experience.

• Demonstrated ability to embrace AI and apply it to your role — using AI coding tools, agentic workflows, and data-driven insights to drive innovation and productivity.

• Familiarity with the AI/ML platform space, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, AI agents, and Model Context Protocol (MCP).

• Earlier-career hands-on programming experience in one or more of Java, JavaScript, TypeScript, or Python, and still comfortable reviewing code, discussing design trade-offs, and engaging meaningfully on technical proposals.

• Deep understanding of SaaS architectures on public cloud (preferably AWS), including multi-tenant, highly available, and secure systems.

• Strong experience with CI/CD and platform tooling such as Kubernetes, Docker, and Terraform.

• Excellent written and verbal communication skills, with the ability to influence and build trust with engineers, peers, and senior stakeholders.

• A calm, pragmatic leadership style under pressure, with a strong bias for action and continuous improvement.

How You Contribute to Guidewire's Mission

At Guidewire, you will lead the teams delivering the AI platform capabilities that empower P&C insurers worldwide to build the next generation of intelligent insurance applications. Your leadership will directly advance our mission to deliver measurable value and efficiency for customers, accelerate AI adoption across the product portfolio, and ensure every customer is successful and referenceable. You'll help shape a team culture grounded in determination, collaboration, and continuous improvement — and in doing so, help shape the future of insurance technology.

The US base salary range for this full-time position is $177,000 - $296,000. 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 Accommodations@guidewire.com. 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 Accommodations@guidewire.com 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.