Manager, ML Engineering

Lead, mentor, and develop a team of engineers across two pods, fostering a culture of innovation, accountability, and technical excellence.

Drive the design, architecture, and technical vision for scalable machine learning platform and end-end ML lifecycle management, ensuring best practices and high- quality outcomes.

Collaborate closely with product, design, and operations teams to deliver scalable SaaS solutions that align with Guidewire’s mission and customer needs.

Champion the adoption of AI, cloud, and data platform capabilities, embedding GenAI and automation into daily operations and product offerings.

Guide the team through complex problem-solving, technical challenges, and cross- functional initiatives, ensuring timely and impactful delivery.

Conduct regular performance reviews and provide career development coaching.

Deep experience in ML Platform engineering and MLOps tools (Kubeflow, MLflow, Sagemaker)

Deep understanding of cloud-based product development and SaaS architectures

12+ years of experience with minimum 3 years of technical leadership and team management abilities

Experience managing and developing engineering teams, with strong ability to drive results and foster collaboration.

Strong skills in design and architecture reviews, with the ability to translate business needs into scalable technical solutions.

Excellent communication, problem-solving, and stakeholder management skills.

Demonstrated ability to embrace AI and apply it to your current role as well as data- driven insights to drive innovation, productivity, and continuous improvement.

Commitment to Guidewire’s values of determination, collaboration, and continuous improvement.

​ Preferred:

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

Experience in the insurance technology domain or with large-scale enterprise SaaS products.

Familiarity with GenAI, automation, and cloud-native development best practices.

Your Impact:

We believe in clarity and setting you up for success. In your first six months, you’ll build strong relationships with your team, lead the delivery of key ML platform features, and drive architectural improvements that enhance product reliability and customer value. Your leadership will directly support Guidewire’s goals of operational excellence, transformative innovation, and customer-centricity, while helping to embed AI and cloud capabilities across our product portfolio. Over time, your influence will extend across teams, shaping the future of insurance technology and Guidewire’s global impact.

What’s in it for you: The people we employ give their all, and in return, we offer flexibility wherever we can, such as:

Flexible work environment

Health and Wellness benefits

Paid time off programs including volunteer time off

Market-competitive pay and incentive programs

Continual development and internal career growth opportunities

All new hires participate in our in-person orientation process, designed to help you connect, learn, and thrive from day one.

By joining Guidewire, you’ll contribute to our wider mission of transforming the way the world’s P&C insurers do business—delivering innovative, secure, and customer-focused solutions that shape the future of the industry.