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

Lead the product safety strategy for robotic systems, perform system-level hazard analyses and risk assessments, define safety requirements and verification plans, engage regulators and standards bodies, and scale the safety engineering function across hardware, software, controls, and research teams.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.

Lead internal communications strategy for OpenAI’s Enterprise & Growth portfolio. Advise senior leaders, develop executive messaging and presentations, manage communications through organizational change, and create company-wide user and customer storytelling programs. Synthesize employee feedback, measure communications effectiveness, and strengthen internal communications practices while adapting to rapidly changing priorities and sensitive business decisions.

Lead global payroll initiatives supporting M&A integrations, employee transitions, payroll system and provider integrations, payment-processing capabilities, legacy system closures, year-end reporting, controls, and process automation. Partner with Finance, Tax, Legal, People, Equity, and external stakeholders to ensure accurate, compliant, and continuous payroll operations across multiple countries.

Build native Android experiences and reusable platform components for plugins, connectors, and interactive apps in ChatGPT. Integrate mobile interfaces with APIs, SDKs, and backend systems; improve performance, reliability, architecture, testing, and developer tooling; and collaborate with product, design, platform engineers, developers, and partners. Own features from exploration through launch, measurement, and iteration.

Design, build, and operate integrations connecting supply chain systems, applications, partners, ERP, SCM, e-commerce, and logistics platforms. Develop Python services, APIs, event-driven workflows, EDI integrations, MCP servers, and reusable connectors. Own architecture, testing, deployment, monitoring, incident response, data reconciliation, security controls, and production reliability while supporting legacy modernization and SOX compliance.

Build and lead the architecture of OpenAI Presence, a platform supporting reliable, high-volume AI agent workflows. Design backend services, data models, and interfaces; improve scalability, performance, and reliability; and develop capabilities for agent deployment, evaluation, and continuous improvement. Collaborate across infrastructure and product experiences while maintaining hands-on ownership from ambiguous requirements through production launch and iteration.

Design, build, and operate backend services for enterprise permissions, authorization, governance, sharing, and administration across OpenAI products. Lead architecture and delivery of complex initiatives, translate ambiguous enterprise requirements into reliable system behavior, and develop scalable APIs and reusable services. Own production reliability, security, performance, testing, observability, debugging, and continuous improvement while coordinating with product and engineering teams.

Build full-stack web applications, integrations, and shared platform capabilities supporting go-to-market workflows. Define scalable application and platform boundaries, protect sensitive data, ensure reliability, and partner with product, business, and engineering teams to prioritize intelligent workflow experiences. The role requires independent architecture and product decisions for connected systems and collaboration across functional teams.

Lead end-to-end design for new AI-powered consumer experiences across health, finance, and agentic products. Shape product direction, create prototypes, design interactions and visual execution, conduct user research, and establish scalable patterns. Partner with research, engineering, product, safety, and domain experts to create trustworthy experiences that balance domain-specific needs with user control, transparency, and responsible AI behavior.