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

Develop and productionize robot learning systems and end-to-end policies for manipulation and locomotion. Build scalable training and evaluation pipelines emphasizing sim-to-real transfer, robustness, inference latency, and data efficiency. Collaborate with simulation, infrastructure, and systems teams, diagnose failures in sim and real-world rollouts, and drive research-to-production deployments.

Own and scale Superpower’s end-to-end finance operations and strategy: payroll (including international/contractors), AP/AR, financial planning, forecasting, scenario modeling, financial modeling, cost and COGS analysis, and board/investor reporting. Partner with executives across Growth, Operations, and Engineering to turn financial data into operational insights and build scalable processes and systems for rapid growth.

Lead AI enablement and prototyping efforts embedded in the People Team: identify high-impact use cases, build and test AI-native prototypes, enable adoption with playbooks, translate experiments into product briefs, and partner with engineering on feasibility, tradeoffs, and handoffs to scale durable internal products.

Perform Layer 1 activation, troubleshooting, and restoration for carrier circuits, dark fiber, wavelengths, Ethernet handoffs, and cloud interconnects. Reconcile as-builts, guide technicians through optical tests and cleaning, verify service acceptance, own tickets and bridges, execute safe smart-hands/change work, deliver production handoffs, and automate the circuit bring-up lifecycle with scripts, APIs, and LLM-assisted diagnostics.

Lead consumer-focused PR and storytelling for ChatGPT consumer products. Develop seasonal and user-driven campaigns, translate technical topics for mainstream audiences, build media relationships, manage inbound press, partner cross-functionally, spot cultural trends, and identify compelling user stories to drive integrated communications.

Design, build, and maintain cloud infrastructure, IaC, and CI/CD for serverless and containerized services. Improve developer experience with internal tooling and self-serve abstractions. Define observability standards, investigate performance bottlenecks, support incident response, and automate security and compliance workflows. Participate in on-call rotation and postmortems to improve reliability and operational excellence.

Own and evolve the core data platform powering AI-driven automation: design domain data models, audit trails, and data contracts; build APIs and data abstractions; ensure performance, reliability, and compliance as the system scales; set technical direction and enable feature teams to ship safely.

Lead Mintlify's finance function as the first finance leader: build the driver-based operating model, own forecasting, board and investor reporting, budgets, pricing and deal economics, treasury and runway planning, monthly close, payroll, tax/compliance, manage outsourced accounting and hire a finance team, and support fundraising readiness.

Lead Mintlify's People function, building people infrastructure, compliance, compensation philosophy, and performance strategy. Partner with founders on org design and workforce planning, improve listening and people-health reporting, own retention and engagement, develop managers, and advise on sensitive employee matters while leading the People team and strategy.

Lead design, delivery, and sustainment of production testers and calibration stations for aircraft, dock, pod, and subassemblies. Architect electrical/functional testers, implement test automation and data pipelines, define acceptance criteria, debug PCBA-level failures on the floor, and drive measurable improvements in yield, false-fail rate, cycle time, and tester utilization while coordinating cross-functional launches and vendor qualifications.

Lead global commodity strategy and end-to-end supplier management for critical categories. Execute RFQs/RFPs, negotiate multi-national contracts, manage supplier performance (QBRs, scorecards), mitigate supply risks, and drive sourcing initiatives (dual-sourcing, localization, vertical integration) to support manufacturing ramps and long-term scalability. Collaborate cross-functionally with engineering, manufacturing, and leadership to align sourcing with technology and production goals.

Lead supply chain analytics and strategic programs: build dashboards and models (SQL, Python, Tableau/Power BI), analyze ERP/MRP and supplier data, drive supplier integrations (EDI/APIs), lead executive-level projects, improve processes and forecast accuracy, and partner cross-functionally to scale manufacturing and supplier operations.

The Client Solutions Associate connects clients with experts for qualitative interviews, manages research projects, and tracks performance while collaborating with product and engineering teams.

Lead and manage cross-functional innovation programs from concept through pilot and scale. Set objectives, manage resources, track multi-workstream delivery, enable frontline and clinical teams, design evaluations, and communicate results to leadership to advance healthcare innovation.

Provide clerical and administrative support to a manager-level leader, manage department-wide projects, prioritize tasks, communicate with staff and patients, protect PHI, use Microsoft Office and EPIC, and work independently and as part of a team.

Full-cycle technical recruiter partnering with hiring managers to define roles, source and engage passive candidates, manage candidate relationships and pipeline, deliver exceptional candidate experiences, and close high-impact hires for an early-stage micromanufacturing company.

Partner with product teams to run experiments, analyze product and funnel data, build and maintain analytics tracking, validate analytics solutions, and deliver actionable insights to inform roadmap and product decisions.

Lead marketing performance analytics including budget allocation, channel mix, attribution, MMM/MTA, and incrementality. Build dashboards, KPIs, and scalable data models; partner with Analytics Engineering and marketing leadership to influence strategy, run experiments, and improve data quality and measurement across channels.