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

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 role involves managing revenue operations, pricing, billing processes, and financial modeling, alongside strategic finance projects and leadership collaboration.

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 Business Development Advisor focuses on driving referral demand and building partnerships in the healthcare sector. This role includes field-based relationship management and consultative sales to grow a portfolio of referral sources, enhancing client volume and engagement for Home Instead.

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.

The Sales Account Manager will drive Diagnostic Cardiology sales by working with health systems and stakeholders, and developing customer insights and competitive strategies. The role requires a minimum of 3 years' experience and focuses on team-based selling and long-term capital sales cycles.

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.