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

Technical leader building scalable data pipelines, analytics infrastructure, and APIs. Own architecture, optimize large-scale query performance, mentor engineers, and partner with product and integration teams to deliver real-time and historical analytics.

Own product release coordination, analytics instrumentation, documentation, tooling, and AI-powered automation to help Product and Engineering ship faster. Manage feature flags, build dashboards, maintain knowledge bases, standardize workflows, and champion AI enablement across the product organization.

Lead development of enterprise-scale features enabling multi-location organizations to deploy and govern AI agents. Build template/versioning, governance, multi-org hierarchy, admin consoles, SSO/RBAC, and rollout tools to standardize and scale deployments while balancing central control and local flexibility.

Build enterprise-grade features for multi-location customers: frontend React+TypeScript interfaces, admin consoles, backend APIs, SSO/RBAC security, multi-tenant PostgreSQL architectures, and well-tested, maintainable code.

The role involves building enterprise features, developing frontend applications with React and TypeScript, backend APIs, and ensuring enterprise security patterns are implemented.

As a Senior Software Engineer, you'll lead the development of user-facing AI-driven applications and backend services, mentor engineers, and set technical direction.

The Senior Software Engineer will design and implement core systems for AI-driven customer service, focusing on backend architecture, database design, and system reliability.

The role involves building scalable cloud infrastructure for AI products, managing DevOps practices, and collaborating with ML teams to optimize workflows.