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

The Account Executive will develop sales strategies, manage direct partnerships, drive revenue through full-cycle sales, and build relationships with brand partners.

As a Full Stack Engineer, you'll develop AI-powered manufacturing applications, integrating real-time AI models and handling large-scale data pipelines while creating user interfaces for decision-making.

Drive net-new enterprise logo acquisition by selling Findems People Intelligence platform. Target HR, Talent Marketing, and Recruiting teams, mapping CRM and marketing automation practices to talent pipeline modernization. Manage complex, multi-stakeholder sales cycles, build ROI-driven business cases, collaborate with internal teams, and forecast and close multi-product, multi-year contracts.

Design, build, and maintain Salesforce solutions with emphasis on Salesforce Shield capabilities. Ensure secure data handling and code quality while collaborating with stakeholders.

The DevOps Engineer will design and manage AWS infrastructure, automate deployments, and ensure security and reliability of cloud systems.

Provide remote support to Account Managers by handling back-office operations (certificates, endorsements, billing, renewals), delivering prompt customer service, documenting actions, managing priorities, and mentoring junior assistants.

This position allows candidates to submit a general application for future corporate team roles within the organization.

Lead technical accounting research and memos for complex transactions, support audits, prepare financial statements and disclosures, maintain accounting policies, own month-end close tasks, and improve reporting and automation.

Designs and executes antibody binding and immunoassay experiments (SPR/BLI, ELISA, FACS), analyzes data with GraphPad Prism, documents results in electronic notebooks, and collaborates to advance biotherapeutics programs. Supports protein expression/purification and other characterization tasks as needed.

Build and maintain scalable backend services, APIs, and data pipelines for a computer-vision AI platform. Collaborate with ML and Solutions teams to productionize model inference, ensure reliability, implement observability, and support deployments and customer integrations.