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

The Director, Compute Finance FP&A leads financial planning and forecasting for Compute & Infrastructure, evaluates investment decisions, manages models for capacity and spending, and collaborates with multiple teams to enable strategic decision-making and improve forecasting accuracy.

Partner with enterprise customers to design, build, and deploy production AI systems. Hands-on engineering: prototype, integrate, evaluate, and scale solutions while addressing reliability, latency, cost, safety, security, governance, and operational readiness. Produce reusable tooling, architectures, and guidance to accelerate deployments and drive measurable business outcomes.

Research and develop memory and personalization for frontier models: design experiments, build datasets and evaluations, implement and debug research code, and collaborate with research and product teams to deploy personalized agent capabilities.

Design and implement end-to-end mitigations for model-enabled cyber misuse, integrate safeguards across product surfaces, evaluate trade-offs, collaborate with threat modeling partners, and execute rigorous testing and red-teaming to iterate on the mitigation stack.

Join the Personalization-Memory team to research and implement long-horizon memory and personalization for frontier models. Own research agenda, build evaluations, design and debug code across the research stack, and collaborate with product and engineering to translate research into product impact.

Conduct multimodal safety research to ensure text, vision, and audio models behave safely. Build training and evaluation methods for VLMs, develop post-training interventions, design safety evaluations, diagnose failures, and collaborate with product and model teams to translate research into safer multimodal experiences.

Lead hands-on growth experiments across acquisition, activation, lifecycle, and early retention for SMB advertisers. Build campaigns, landing page and messaging tests, AI-assisted assets and automation, partner with cross-functional teams, maintain experiment documentation, and translate ideas into measurable tests to drive first meaningful spend and repeat value.

Lead and drive large-scale product and platform programs across ChatGPT, API, web, and mobile. Translate product vision into technical plans, manage timelines, dependencies, risks, and stakeholder alignment. Influence architecture and API interfaces, coordinate cross-functional teams, and use data/AI tooling to optimize delivery and developer experiences.

Post-sales technical lead for a portfolio of education institutions driving adoption of OpenAI products. Own account health, enablement, deployment, use-case validation, multi-workstream program management, executive and technical stakeholder alignment, and measurable student, faculty, and institutional outcomes.

Lead applied data science for GTM and Technical Success: build predictive and causal models (propensity, churn, uplift), define customer health and metrics, create next-best-action systems embedded in workflows, measure intervention effectiveness, partner across Product/Engineering/RevOps/Sales, and hire and mentor a small data science team to drive adoption and expansion.