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

Lead and scale support operations by owning service health, partner/vendor management, automation programs, and governance. Drive capacity gains via organizational design, embed LLM-powered tools, partner with engineering and data teams, set standards, and replace one-off fixes with reusable systems to improve productivity, quality, and cost-to-serve.

Develop and optimize large-scale compute systems for AI workloads, improving infrastructure reliability and performance across various layers of the stack.

Design and develop software systems for planning and optimizing compute infrastructure; collaborate with various teams to enhance operational efficiency and decision-making.

Conduct research and build technical mitigations for risks from recursive self-improvement. Design monitoring, automated auditing, and evaluations of misalignment; prototype interventions and integrate them into safety pipelines; collaborate with engineering and stakeholders to deploy and verify controls.

Own strategic relationships with a portfolio of startup customers to drive adoption and consumption of OpenAI's APIs. Develop account plans, partner with solutions architects, manage revenue targets and forecasts, analyze account metrics, surface product feedback, and work cross-functionally to accelerate startup product development and growth.

Build and operationalize safety and risk processes for a new consumer hardware product: define incident taxonomies, escalation paths, tooling and data requirements, launch-readiness plans, playbooks, and monitoring. Lead investigations for regulated and privacy-sensitive cases, implement QA and training, use telemetry and case data to improve systems, and transition workflows into durable operations across partner teams.

Embed with Product and Engineering to define success metrics, design measurement and experimentation frameworks, instrument and monitor launches, translate model-driven signals into decisions, and build repeatable decision loops to convert analysis into shipped changes.

Lead end-to-end design for data-intensive observability and experimentation products used by engineers and researchers. Define interaction models and workflows for querying, visualization, alerting, investigation, and experimentation. Partner with engineering, data science, and product to translate complex technical systems into coherent, actionable experiences and shared design systems. Use prototyping, research, and high-quality information design to create consistent, AI-native enterprise tools.

Lead design for payments, billing, and monetization systems across consumer and enterprise products. Ship end-to-end experiences, define platform frameworks for usage-based pricing, translate complex financial and technical constraints into clear UX, conduct user research, and evolve shared design systems while partnering with engineering, product, finance, and design peers.

Build and own backend enterprise platform capabilities across authentication, key management, secure networking, observability, and developer-facing APIs. Lead cross-functional initiatives from discovery through launch, operate distributed systems spanning databases, streaming infrastructure, and request routing, and partner with product, security, and customers to shape roadmap and reliable developer experiences.