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

The Vice President will lead strategic communications for biotech clients, manage relationships with media, and mentor teams. Responsibilities include developing media strategies and client management.

Join Arista Networks as a Site Reliability Engineer to manage CloudVision service reliability, scalability, and stability in a FedRAMP environment, focusing on areas like architecture, security, and performance optimization.

The Head of Growth will design and implement the Product-Led Growth strategy, manage user acquisition, and build a high-performance growth team while partnering with founders to drive market adoption.

The Software Engineer II will design, implement, and maintain scalable data pipelines, support product features, mentor team members, and contribute to data platform modernization.

Life Science Analysts conduct research and analysis in the life sciences field, providing strategic insights and project management support. Responsibilities include primary/secondary research, trend analysis, communication of findings, and managing project aspects.

Develop software for innovative automotive products and services, conduct research, lead validation tests, and mentor team members. Collaborate with cross-functional teams on projects related to driving assistance and immersive communications.

The Project Manager will act as the owner's representative on construction projects, managing budgets, schedules, and compliance while coordinating with various stakeholders.

The R&D Scientist will contribute to the development of novel assay technology, design experiments, analyze data, and innovate solutions for R&D challenges.

As a Marketing Communications Intern, you'll assist with social media management, media relations, content development, building AI tools, and collaborate with teams and agencies.

The Senior Data Analytics Engineer will own the data ecosystem, manage pipelines, support AI/ML initiatives, and translate business goals into technical requirements. They will also ensure data reliability and optimize performance across analytics platforms.