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

Leads and expands a senior investigations practice, independently managing complex workplace, education, public-sector, executive conduct, compliance, culture, and governance inquiries. Advises organizations on investigation methods, conducts interviews, prepares findings and legal reports, handles sensitive matters, and develops client relationships, revenue, and new business.

Build and own high-volume backend services for automated jobs, including scheduling, queues, retries, and third-party integrations. Design scalable infrastructure, maintain data integrity and uptime, manage production performance, and deliver features from scoping through deployment. The role involves shaping platform architecture, handling heavy traffic, and collaborating closely with the technical lead. Candidates need startup experience, large-scale background processing expertise, Effect or functional TypeScript experience, and the ability to work hybrid in San Francisco.

Lead growth marketing for a B2B legal services company by building audiences, managing social and content channels, developing community and referral programs, improving search visibility, and creating events. Own the CRM and conversion tracking through booked sales meetings, establish creative direction, test campaigns, and use AI and automation tools to drive efficient growth independently.

Own post-sale customer onboarding and software customization for legal teams. Translate lawyers’ needs into workflows, documents, specifications, and developer tickets; manage delivery, testing, and quality from start to finish. Use AI tooling to tailor solutions, communicate effectively with developers, and convert repeated customization work into scalable processes. The role requires legal experience, product thinking, technical fluency, strong customer discovery skills, and the ability to work across legal, customer, and engineering stakeholders.

Support company founders by owning high-priority initiatives across fundraising, hiring, operations, and go-to-market. Run planning cycles, goals, metrics, meetings, and reviews; prepare presentations and validate internal data. Lead cross-functional projects spanning product operations, finance, partnerships, and recruiting while connecting product, engineering, and go-to-market teams. Identify problems early, develop recommendations, and build repeatable systems that ensure critical work reaches completion.

Own major product areas end to end, driving roadmaps with customers and product managers. Build and ship full-stack features across frontend, backend, and databases, using AI agents for coding and review. Create technical design documents, collaborate with staff engineers, and work directly with finance professionals, sales, and customer success to turn user needs into product improvements.

Build and own major areas of an AI platform across the frontend, backend, databases, and background systems. Lead product development end to end, write technical designs, review code and architecture, and improve engineering practices. Collaborate directly with customers, sales, customer success, and product to deliver finance-focused features. Serve as a force multiplier by leading product or infrastructure initiatives and mentoring senior engineers.

Build scalable AI evaluation infrastructure, reinforcement learning environments, APIs, human-in-the-loop platforms, distributed experiments, dashboards, and analytics pipelines. Collaborate with research, product, and design teams, work directly with AI lab researchers, and address core infrastructure scalability and reliability challenges. The role requires full-stack development, end-to-end ownership, rapid delivery, and client-facing communication.

Own strategic enterprise deployments from initial executive engagement through global scale. Sell complex pilots, manage commercial relationships, scope customer processes, align stakeholders, define success metrics, lead cross-functional delivery teams, navigate high-stakes environments, and identify account expansion opportunities. The role requires strong commercial judgment, enterprise stakeholder management, deployment leadership, technical fluency, autonomy, and comfort with ambiguity.

Lead technical projects from scoping through delivery, collaborate with external partners to define problems, and design optimization solutions for applied technical challenges. The role combines physical science research with practical engineering and progressively deeper research responsibilities. Candidates should have relevant STEM research experience, client-facing project ownership, strong problem-solving ability, and comfort working independently in a close-knit, on-site team.