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

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

Designs, operates, and improves cloud and infrastructure security across AWS and multi-cloud environments. Responsibilities include cloud governance, identity and access controls, network security, infrastructure as code, CI/CD and software supply-chain security, container and Kubernetes security, monitoring, threat modeling, incident response, and security automation. The role also contributes to AI security initiatives involving LLMs, AI agents, and MCP integrations, communicates risks across teams, leads complex initiatives, and mentors engineers.

Lead the design, development, deployment, and operation of production-grade generative AI and LLM solutions. Build data and ML pipelines, fine-tune and evaluate models, implement RAG and prompt engineering, and establish MLOps practices on AWS. Drive use cases across insurance workflows, ensure security and responsible AI compliance, mentor engineers, and collaborate with product, engineering, security, finance, and go-to-market teams.

Sell Guidewire’s data and analytics software, particularly the HazardHub geospatial data product, to new and existing P&C insurance customers. Responsibilities include prospecting, relationship management, enterprise sales-cycle leadership, proposals, presentations, competitive analysis, post-sale expansion, trade-show participation, and regular sales reporting. The role requires at least five years of enterprise software sales experience and approximately 25–50% overnight travel for nationwide customer meetings.

Own a defined PolicyCenter product area from customer discovery through launch and adoption. Partner with carriers, engineering, design, field teams, and other product managers to prioritize features, write specifications, manage delivery, address production issues, and measure outcomes. The role focuses on policy administration workflows, underwriting, rating, integrations, cloud delivery, and practical AI capabilities for enterprise P&C insurance customers.

Own a portfolio of Guidewire Analytics clients through onboarding, adoption, value realization, renewals, and expansion. Translate client business challenges into analytics use cases, guide stakeholder engagement, identify retention and growth opportunities, and coordinate internal teams to resolve issues and advance client objectives. The role requires strong client-facing commercial experience, analytical and technical curiosity, consultative problem-solving, and the ability to discuss APIs, datasets, models, and dashboards.

Manages a portfolio of insurance customers by driving adoption, satisfaction, retention, renewals, and expansion of Guidewire solutions. Builds trusted relationships with C-suite, business, and IT stakeholders; develops success and account plans; leads executive reviews; identifies sales opportunities; manages customer health and commercial renewals; advocates for customer needs internally; and mentors other customer success managers.

Leads the transformation of Sales Operations into an AI-first organization by defining strategy, identifying automation opportunities, redesigning workflows, and architecting AI solutions across CRM, data, and enterprise platforms. Designs agents, RAG systems, and intelligent workflows; partners with Engineering and IT on integrations, governance, security, and scalability; establishes evaluation and observability standards; and drives enterprise adoption and executive alignment.

Own go-to-market positioning and marketing strategy for Guidewire PricingCenter and Predict. Develop technical content, sales enablement, thought leadership, and competitive intelligence for actuarial and data science audiences. Partner with product, engineering, and sales to influence the roadmap, accelerate adoption, generate pipeline, and translate insurance pricing, predictive modeling, and machine learning capabilities into compelling business narratives.