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

Build and manage strategic partnerships with silicon vendors and hardware ecosystem companies. Lead co-design programs, define joint AI products, negotiate agreements, coordinate technical integrations and benchmarking, drive ecosystem adoption, and develop joint go-to-market initiatives. The role works cross-functionally with engineering, product, leadership, and sales teams to convert partnerships into signed agreements, shipped integrations, and customer adoption.

Own HR data accuracy and employee lifecycle administration across onboarding, offboarding, employee changes, benefits, payroll, visas, compensation, and global vendors. Manage HRIS records, audits, offer letters, compliance processes, and cross-functional People projects. Partner with internal engineers to test and improve the company’s People operating system. This hands-on role is based in the San Francisco office four days per week.

Own startup revenue by qualifying and closing deals, growing customer accounts, building outbound channels, and designing scalable startup programs and commercial offers. Translate customer feedback into prioritized product improvements while partnering with engineering, ML, and marketing teams. The role requires selling technical platforms to founders and technical teams, understanding usage-based pricing and committed-spend agreements, and creating a repeatable path from startup credits to paid contracts.

Own the full enterprise sales cycle for Liquid AI’s foundation models, from prospecting and discovery through technical validation, negotiation, procurement, and close. Build self-sourced pipeline, sell to technical and executive buyers, lead complex multi-stakeholder evaluations, shape pricing and deal strategy, and establish a repeatable early-stage sales motion. Provide market intelligence and partner with founders and engineering to expand enterprise adoption.

Own the monthly and quarterly close, technical accounting positions, equity compensation accounting, tax processes, internal controls, annual audit, and finance systems automation. The Controller will build scalable accounting infrastructure, lead ERP improvements, manage external auditors and tax vendors, and partner with FP&A, Legal, GTM Finance, the CFO, board, and audit committee.

Own end-to-end AI product solutions: define ICPs, pricing, and packaging; extract and productize customer learnings; collaborate with ML and inference teams to reduce implementation overhead; partner with GTM to scale outbound sales and deploy repeatable enterprise solutions.