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

The Sales Executive will drive revenue growth, manage client relationships, execute sales strategies, deliver presentations, and negotiate contracts while collaborating with teams across the organization.

The Senior Account Supervisor leads execution in financial communications, advising clients on high-stake events while mentoring junior team members and contributing to business growth.

The Staff Product Manager will drive hardware and software initiatives for residential solar products, managing product roadmaps and coordinating cross-functional teams to ensure product launch success.

Oversee TID department operations, guide tech teams, manage budgets, support staff development, maintain systems, and troubleshoot issues.

Drive and execute strategic initiatives, support decision-making with analysis, develop financial models, identify operational bottlenecks, and strengthen operational cadences.

The Product Manager will define and drive product vision for Chef Robotics, managing the product lifecycle and collaborating with teams to meet user needs and business objectives.

The Technical Consultant designs and delivers customer solutions within Oomnitza, ensuring satisfaction, managing expectations, and providing documentation and knowledge transfer.

The Director of Product Strategy for Sales Engagement will bridge product development with sales strategies, evangelizing product direction, enabling go-to-market strategies, and innovating pricing models, while communicating with executive teams and managing customer relations.

Hands-on founding engineer building a production Shopify app, storefront widget, video upload flow, and AI extraction pipeline. Ship, harden, and operate full-stack systems, ensure reliability and conversion-focused UX, and scale tooling for self-serve merchant onboarding.

Own the end-to-end product for automated, AI-driven revenue recognition: convert finance spreadsheets into production logic, build billing/invoicing/reporting, drive validation and test-driven data integrity, run discovery with Finance and Operations, define metrics and reporting UIs, and translate between finance and engineering stakeholders.