Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As a Senior AI/ML Platform Engineer, you will architect and scale the ML platform, ensuring efficient ML workflows and collaborating with various teams to drive AI adoption.

Design, develop, and maintain Guidewire’s application platform, primarily focusing on backend services, APIs, microservices, and distributed systems. Ensure platform quality, scalability, availability, and security while using AI coding and automation tools. Collaborate across teams, support cloud and data platform adoption, contribute to infrastructure and frontend work as needed, and mentor junior engineers.

Own the product marketing strategy for Guidewire ClaimCenter, positioning its claims transformation, automation, AI, and workflow capabilities for P&C insurers. Develop messaging, technical content, sales enablement, go-to-market plans, conference presentations, customer workshops, market intelligence, and advocacy programs. Partner with product, engineering, sales, and solution consulting teams to drive adoption, pipeline, and measurable customer business outcomes.

Own the architecture and evolution of test automation frameworks for Guidewire Cloud and AI-powered services. Build API, UI, data, contract, and performance automation; integrate testing into CI/CD; and develop AI-driven testing capabilities. Establish standards for distributed, containerized environments using Docker and Kubernetes, improve observability and reliability, define quality objectives, and mentor engineers across teams. The role requires deep expertise in software testing, distributed systems, cloud platforms, and automation architecture.

As an Outbound Product Manager, you'll focus on AI and Workflow Automation for the Guidewire Cloud Platform, driving product direction, gather insights, collaborate cross-functionally and enhance customer adoption of automation solutions.

As an Engineering Manager, you'll lead the Application Platform team, driving innovation in cloud and AI technologies while ensuring secure and scalable solutions for clients. You'll mentor engineers, manage projects, and foster a culture focused on continuous improvement and operational excellence.

Design, build, and operate cloud-native, large-scale data platform and real-time stream processing services. Lead distributed systems development using Java/Scala and big-data technologies, mentor teams, ensure scalability, reliability, security, and drive platform adoption across the organization.

Provide technical leadership across multiple engineering teams to design, build, and operate secure, scalable, multi-tenant cloud-native SaaS services. Develop microservices, APIs, automation, and platform capabilities using cloud, container, and IaC technologies; drive AI adoption, ensure reliability, observability, CI/CD, security, and mentor engineers from design through production.

As a Staff Software Engineer on the Data Platform team, you'll architect and develop cloud-native SaaS services, lead distributed systems design, and mentor engineering teams to drive innovative data solutions.

As a Senior Machine Learning Engineer, you will architect a scalable ML platform, collaborate across teams, and ensure best practices for ML workflows and operations.