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

Manage commercial agreements while optimizing legal operations and implementing AI tools for efficiency. Collaborate with teams to ensure compliance and deliver training.

The Senior Counsel will provide legal guidance on employment matters, manage litigation, draft policies, and oversee investigations while working closely with HR and external counsel.

The Technical Accounting Manager will oversee complex accounting matters, ensuring compliance with U.S. GAAP, manage equity compensation accounting, support SEC filings, and help maintain SOX compliance.

The Learning & Organizational Development Manager oversees strategy and execution of learning programs to enhance organizational performance, foster inclusivity, and support employee growth. Responsibilities include advising leadership, designing development programs, implementing learning systems, and leveraging data to align training with business objectives.

The Robot Operations Manager oversees global fleet allocation and compliance for robotic deliveries. Responsibilities include forecasting, regulatory alignment, and ensuring operational readiness across various markets, liaising with policy and hardware teams.

The Compensation Manager at Serve Robotics leads the design and execution of compensation programs, ensuring competitive and equitable pay practices. This role involves partnering with leadership, conducting market analyses, maintaining compensation frameworks, and ensuring compliance with pay regulations.

The IT Project Manager oversees, plans, and executes technology projects ensuring timely completion within budget and scope while leading cross-functional teams.

The IAM Engineer designs, implements, and maintains IAM systems, ensuring compliance and security while managing user access and automation workflows.

As a QA Engineer, you will ensure quality in delivery platforms through security vulnerability identification, function testing, and API test automation, while collaborating with various teams to improve their processes.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.