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

Own strategy, roadmap, delivery, and outcomes for a major software platform area. Translate customer and internal needs into priorities, partner with engineering leadership, launch products, use AI tools to accelerate work, and mentor or potentially lead product managers. Collaborate with founders and senior engineers while maintaining hands-on product ownership.

Own the post-sale relationship from onboarding through renewal and expansion for B2B SaaS customers. Lead implementations, pilots, training, adoption, business reviews, renewals, and account growth. Establish the company’s first customer success function by defining health metrics, escalation paths, and playbooks. Partner with product and engineering to communicate customer insights and influence the roadmap.

Build and lead a pipeline-focused demand generation function for an enterprise B2B sales motion. The role develops account-based campaigns, improves AI search visibility, evaluates marketing channels, manages event strategy, reallocates resources based on performance, and partners with sales, product, technical go-to-market, and leadership teams. Success is measured by qualified sales opportunities rather than lead volume.

Own enterprise customer implementations from kickoff through go-live, manage multiple accounts, advise senior stakeholders, drive adoption, and relay customer insights to product and engineering. Collaborate on proofs of concept and demos while guiding junior analysts on integration and data work.

Deploy and configure AI agents for business customers, owning rollouts from scoping through production delivery. Build evaluation suites with customer data, debug live deployments, integrate customer systems, and improve platform limitations. Partner with commercial teams to close and expand accounts while feeding field insights into product development. The role requires strong Python, FastAPI, and React skills, customer-facing implementation experience, and startup experience in a hybrid Bay Area setting.

Own the machine learning experimentation lifecycle, including dataset creation, training workflows, evaluation benchmarks, model optimization, and production deployment. Collaborate with infrastructure engineers to improve compute efficiency and training stability. Apply rigorous scientific methods to assess model quality and communicate findings through articles, papers, and open-source contributions.

Lead the legal function for a fast-growing software company. Negotiate major customer, data, and healthcare agreements; create contract templates and negotiation guidance; advise on telephony, outbound calling, privacy, AI, and other regulatory matters; review customer use cases; own customer-facing terms and policies; and manage external counsel and the legal budget.

Lead the end-to-end lifecycle of contract specialists, including recruitment, screening, onboarding, training, project placement, and support. Improve staffing operations and contributor-facing platforms, translate operational issues into product requirements, collaborate with engineers and AI coding assistants, forecast staffing needs, and grow the contributor pool while maintaining quality and a strong contributor experience.

Lead end-to-end recruiting for engineering, client-facing, sales, and product roles. Partner with hiring managers on structured interviews, source passive candidates, conduct reference checks, and manage external recruiting agencies. Support immigration paperwork, payroll, benefits setup, and other people operations. The role may eventually supervise and coach a junior recruiter.

Own IT and network infrastructure across distributed biotech sites, including site setup, networking, systems administration, endpoint management, access controls, security, and SOC 2 readiness. The role requires hands-on infrastructure automation, device lifecycle management, and Python or Bash scripting. It partners with leadership and may grow into hiring and managing an IT team.