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

Lead end-to-end execution and continuous improvement of OpenAI's extended workforce program. Translate priorities into plans, implement scalable processes, systems, automation, reporting, and AI use-cases; manage suppliers and stakeholders; ensure compliance; resolve complex escalations; and drive adoption and measurable program health outcomes.

As a Machine Learning Engineer, you will design and deploy models, collaborate with teams to solve business challenges, optimize performance, and maintain model effectiveness.

Lead ambiguous, high-priority user-safety and risk problems end-to-end: investigate signals, design and iterate scalable workflows, build lightweight tools/automations, coordinate cross-functional partners, and measure operational outcomes. Own launch-readiness, incident response, vendor coordination, and coach junior operators while improving speed, quality, and risk reduction.

Manage end-to-end software development for AI accelerator systems, coordinating cross-functional internal teams and external partners. Lead planning, scheduling, and implementation from design through data-center deployment, ensuring scalability and quality for AI-native silicon and system-level solutions.

Create and adapt B2B content (webinars, guides, blogs, ebooks, customer proof) that translates complex product messaging into reusable, audience-specific assets. Partner with Product Marketing and Demand Gen to plan content, build modular frameworks and templates, use performance signals to iterate, and maintain high editorial quality across interconnected campaigns.

Own and expand a portfolio of strategic platform partnerships end-to-end: set multi-year strategies, negotiate commercial and technical agreements, align cross-functional roadmaps, lead integrations and launches, measure adoption and revenue, resolve blockers, and create repeatable playbooks to scale partnerships.

Senior data scientist role focused on measuring and improving AI-agent security. Define metrics and evaluations, build data foundations, strengthen detection and response, run experiments, and translate analysis into product and security improvements across engineering, product, and research teams.

Build end-to-end full-stack product experiences for persistent AI agents: design intuitive frontends, implement backend services/APIs and data models for persistent state and orchestration, and collaborate with product, design, and research to deliver reliable, secure, enterprise-ready agent workflows.

Provide practical commercial legal counsel to Robotics across hardware development, manufacturing, supply chain, procurement, and strategic partnerships. Draft, review, and negotiate complex commercial agreements; identify and mitigate IP, regulatory, privacy, and compliance risks; build scalable legal processes and templates; and partner cross-functionally to enable product development and commercialization.

Lead global B2B enterprise paid marketing and demand generation across channels, build and scale ABM, align media with sales to drive pipeline and revenue, design experiments and attribution frameworks, and deploy AI-enabled creative and optimization workflows.