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

Lead enterprise-scale Generative AI programs from research to production, focusing on multi-agent conversational systems, agentic architectures, pretraining/finetuning, and inference optimization. Drive cross-functional delivery, manage technical risk, establish evaluation and deployment frameworks, partner with risk/compliance, and ensure scalable, secure adoption of AI solutions.

Lead product strategy and delivery for developer experience tools to improve developer productivity, test automation, and CI/CD pipelines. Partner with engineering and design to define features, drive adoption of development tools and automated testing, measure software quality, and balance strategic vision with execution in ambiguous environments.

Lead product strategy and delivery for a developer experience platform focused on automated, secure, and reliable software delivery. Modernize risk management by building proactive, technology-driven solutions and partner with engineering and stakeholders to deliver platform features that improve developer productivity and meet business outcomes. Advocate for internal customers and shape multi-year roadmaps for enterprise-scale platform capabilities.

Lead Developer Experience product strategy to improve developer productivity across deployment pipelines. Engage stakeholders, define product features, work with engineering and design, set success metrics, drive adoption, build business cases, and operationalize product metrics to enable secure, self-service developer tooling.

Lead cross-functional teams to define vision and roadmap for Capital One Shopping products. Use SQL/Python/R and data analysis to set and monitor KPIs, troubleshoot issues, and iterate from ideation to production. Partner with analysts, designers, engineers, and stakeholders to launch merchant-focused features that drive revenue and customer value.

Lead product strategy and delivery for Capital Ones AI coding and developer experience tools. Translate frontier AI into governed, developer-loved products that scale AI-augmented workflows, improve code review, embed enterprise standards, and accelerate software delivery through cross-functional leadership and data-driven decisions.