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

Develop and maintain data infrastructure, design processing frameworks, collaborate on product implementations, troubleshoot system issues, and optimize workflows.

Join Equilibrium Energy as a Staff/Sr Staff Software Engineer to enhance the Science Platform for ML model deployment, requiring strong Python and ML expertise.

The Manager, Lab Data Management will oversee lab reference ranges, manage data quality, collaborate with various teams, and track LNR issues to support clinical studies.

Provide end-to-end legal support for specialty finance and private credit transactions: structure, negotiate, document, execute, and manage post-close matters. Partner with investment teams and internal stakeholders, manage outside counsel, create scalable playbooks/templates, identify and mitigate legal risks, and support portfolio legal needs and investor-facing materials.

The Director of Talent will lead the recruiting team, develop talent acquisition strategies, advise senior leadership, and enhance the candidate experience, focusing on hiring high-performing individuals.

The Senior Manager, Experiential Marketing will lead in-person and virtual customer engagement strategies, planning events, creating co-marketing motions, and enhancing community reach to support business growth.

Implementation Engineers support project delivery of computer vision solutions, collaborate with sales, provide technical training, and enhance customer experiences through problem-solving and project management.

The IP Administrator supports patent practice by preparing legal documents, managing patent prosecution processes, maintaining filing accuracy, and facilitating communication between attorneys, clients, and stakeholders.

As an Enterprise Solutions Architect at Fireworks.ai, you will lead technical customer engagements, architect GenAI applications, and influence product strategy while providing insights and building partnerships with enterprise clients.

Lead the development of new AI agents and offerings, conduct user interviews, analyze competitors, and define product vision and metrics.