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

The Senior Treasury Management Sales Associate manages client relationships, supports sales efforts, and collaborates with advisors to achieve growth objectives.

The Technical Operations Manager is responsible for product development, process optimization, troubleshooting, and ensuring product quality and food safety. Duties include managing technology transfer, training teams, developing technical documentation, and leading investigations regarding product quality issues.

The role focuses on defining, scaling, and managing strategic partnerships with Systems Integrators to enhance enterprise growth and operational efficiency. Key responsibilities include cross-functional collaboration, removing barriers, and establishing effective engagement frameworks for partnerships. Requires strong leadership in sales and relationship management.

The Docketing Specialist manages litigation docketing and calendaring, ensuring compliance with court deadlines and coordinating with legal staff. Responsibilities include monitoring deadlines, preparing reports, and filing court documents.

As the Head of Developer and AI Platform Marketing, you'll define positioning, build community presence, oversee go-to-market strategies, and drive developer engagement for HeyGen's AI tools.

The Executive Director manages complex Asset Based Lending portfolios, oversees credit risk, develops client relationships, and leads strategies for challenging clients while mentoring junior team members.

The Staff Platform Engineer will lead the design and strategy of Mux's infrastructure, drive technical initiatives, improve engineering processes, and mentor engineers across teams.

The People Operations Coordinator will provide HR, IT, and administrative support, manage payroll, maintain employee files, and assist with office operations in a hybrid work environment.

Define and evolve Parallel's visual identity across multiple platforms, ensuring coherence in brand systems, marketing collateral, and campaigns to effectively communicate technical products.

As a Data Scientist, you will improve sponsored search capabilities, analyze data for insights, and implement ranking improvements using machine learning techniques.