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

Lead mid-market enterprise accounts through the full sales cycle for AI products. Develop account plans, partner with solutions and research engineering, own consumption revenue targets and forecasts, analyze account metrics, monitor industry landscape, and support recruiting and culture-building.

Lead day-to-day operations for a strategic partnership: set strategy and operating plan, drive prioritized initiatives from problem to execution, build joint go-to-market motions, negotiate commercial terms, coordinate cross-functional product and technical integration, and deliver measurable customer deployments and outcomes.

Lead and build a company-wide competitive intelligence function that produces executive-ready analyses, strategic frameworks, and tooling to inform product strategy, pricing, GTM, and enablement. Monitor competitors, synthesize quantitative and qualitative signals, partner across Product, Sales, Marketing, and Exec teams, and deliver dashboards, battlecards, and recurring competitive reviews that shape roadmap and go-to-market decisions.

Define roadmap and priorities for agentic developer tooling and APIs. Partner with research and engineering to ship SDKs, APIs, and infrastructure that make building, scaling, and safely operating agentic applications easier for developers.

The role involves defining and scaling data processing, privacy, and access control products, while collaborating with engineering and compliance teams.

The Software Engineer will build CI/CD systems, improve developer workflows, and enhance internal platform capabilities for both device and cloud applications.

Design, evaluate, and improve mitigation and monitoring systems to prevent extreme harms from AI. Perform root-cause error analysis, build measurement frameworks and dashboards, detect adversarial shifts, quantify over-/under-blocking impacts, and communicate findings to drive product and policy changes across teams.

Co-design hardware for AI workloads, optimize ML platform code, develop system performance models, and collaborate with engineers and vendors to influence hardware design.

The AI Deployment Manager leads enterprise AI pilots, helping customers evaluate OpenAI products. Responsibilities include designing pilots, engaging with stakeholders, and translating results into actionable recommendations to ensure successful adoption.

Lead laser-related optical interconnect efforts, evaluate optical components, support testing, collaborate with partners, and resolve technical issues for large-scale compute systems.