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

Own technical delivery for key customers while spending approximately 60% of the time coding and 40% on customer engagement. Responsibilities include triaging issues, shipping production fixes, developing backend and product expertise, discovering customer needs, improving the core product, supporting demonstrations and events, and communicating independently on ambiguous work.

Own electrical system integration for robotic hardware, including motor drivers, power electronics, sensor circuits, PCB design, grounding, shielding, filtering, cabling, and communications. Design, validate, and debug hardware and electromagnetic interference in the laboratory while managing tradeoffs across performance, reliability, manufacturing, cost, and schedule. Collaborate with mechanical, firmware, and controls teams through schematic, layout, bring-up, validation, and production.

Build full-stack infrastructure for an expert marketplace, including outreach, assessment, interviewing, onboarding, expert profiles, availability, staffing, workflow automation, funnel instrumentation, and recommendation or matching capabilities. The role partners with growth and operations teams to resolve bottlenecks and requires end-to-end ownership of complex production systems.

Own customer AI-agent implementations from architecture through production deployment, with approximately 70% backend engineering and 30% customer-facing work. Build Python-based backend agent systems, translate operational requirements into automated workflows, and deploy solutions on AWS, Google Cloud, or Azure. Guide enterprise stakeholders through implementations and technical tradeoffs while managing projects end to end.

Own the full mid-market B2B sales cycle, including self-sourced pipeline generation, outbound prospecting, discovery, demonstrations, negotiation, closing, and forecasting. Sell consultative services to business, talent, legal, and finance leaders while pursuing a $1.6 million annual quota. The role requires fully self-sourced selling without SDR or inbound support and is onsite for candidates based in San Francisco or the South Bay Area.

Own product design and frontend implementation for enterprise AI evaluation workflows. Translate customer feedback and ambiguous ideas into production-ready interfaces, create reusable design-system components, build occasional full-stack features and internal tools, and set product design direction while collaborating with engineers and leadership.

Build full-stack AI agents and product features for commercial workflows, including quoting and pricing. Develop user interfaces, backend integrations, ERP connections, and privacy-compliant deployments. Work with TypeScript, React, and potentially Next.js while incorporating customer feedback and experimenting with new AI tools and agent orchestration frameworks. The role requires shipping customer-facing products and working onsite five days per week in San Francisco.

Corporate Counsel will serve as the company’s first dedicated in-house attorney, owning commercial contracting and supporting adjacent legal matters. Responsibilities include drafting and negotiating MSAs, SOWs, data licenses, and DPAs; improving templates and playbooks; advising leadership and people teams; coordinating outside counsel; and supporting employment-related issues. The role requires California bar admission, strong commercial contracting experience, startup in-house experience, and practical judgment.

Develop production control and localization systems for heavy autonomous vehicles. Design and tune MPC and PID algorithms, build GPS/RTK and IMU-based localization and state-estimation pipelines, analyze field-test logs, and integrate controls with perception, planning, and hardware. The role requires onsite work in San Francisco and up to 15% travel to customer deployment and testing sites.

Build recruiting processes and pipelines, manage contracts, billing, accounting coordination, insurance, and administrative operations. Develop financial models, support pricing and revenue initiatives, build AI agents and workflow automations, and independently deliver projects across finance, sales, and business operations.