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

Field-based, relationship-driven seller responsible for closing new business, evangelizing Commure + Athelas, meeting quotas, aligning solutions to customer needs, overcoming objections, collaborating with account teams, and staying current on industry and technology trends. Role requires a clinical license and proven success in healthcare/tech sales and prospecting.

As an Account Executive, you'll drive new customer acquisition in the mid-market segment, manage a full sales cycle, conduct demos, and collaborate with teams to refine strategies and support clients.

Join as a founding engineer (Mechanical, ML, or Software) to design and ship hardware, models, and low-latency software to real robots daily. Make long-lasting design decisions, iterate rapidly, and deploy production systems across the full robotics stack.

Own full-cycle enterprise sales independently — prospecting, discovery, demos, negotiation, and close for complex 6–18 month deals. Build outbound pipeline, run multi-stakeholder sales processes, partner with Product/Engineering, and establish long-term enterprise relationships generating SaaS and transaction commissions.

Founding full‑stack engineer responsible for 0-to-1 product definition, building frontend and backend systems, wrangling agentic AI and ML infrastructure, and leading end-to-end implementation to deliver rapid, high-quality iterations to customers.

As a Data Engineer, you will leverage AI tools, develop data models, and build scalable data pipelines while partnering with cross-functional teams to enhance user experiences and automate workflows.

Build and ship cross-platform client applications and features for a cloud gaming platform. Own UI architecture, develop 1st-party clients, optimize client performance, contribute to technical roadmap, and take greenfield projects from inception to production while collaborating closely with leadership and users.

Lead and grow a team of experienced Account Executives, manage a multi-million-dollar book, implement sales methodology, forecast accurately, mentor managers, close complex deals, and drive cross-functional initiatives to improve pipeline quality and execution.

Lead design and implementation of the Knowledge Intelligence Pod's core systems: ingestion, extraction, retrieval, provenance, review UIs, and evaluation. Ship reliable production code, set architecture and observability standards, mentor engineers, and partner with tax professionals to ensure correctness and scalability across firms.

Develop and maintain backend services in Go, support machine learning and LLM initiatives, design and refine prompts, write and optimize SQL queries, and collaborate with a remote PST-hour team to deliver AI-driven solutions.