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

Design and build internal platforms for model evaluation, regression testing, dataset discovery, secure large-scale data access, and agentic context curation. Own end-to-end product lifecycle, integrate customer feedback, ensure access controls and PII handling, and enable cross-team use of datasets and evaluation tooling.

Build and own internal backend products for model evaluation, regression testing, dataset discovery, and agentic context curation. Unify internal data and evaluation systems, enable secure, queryable access to petabyte-scale data across clouds with PII-aware access controls, integrate product usage signals, and harden internal agents for org-wide use.

Own the product roadmap and execution for co-development, distribution, and integrations with major cloud and data platforms. Scope and validate integrations, drive end-to-end technical and GTM launches, align cross-functional teams, and measure partner-sourced pipeline, usage, and adoption.

Own the agent-facing integration layer (MCP server) that exposes multimodal video/image AI capabilities to developers and agents. Build auth (OAuth/OIDC/RBAC), multi-tenant isolation, usage tracking, rate limiting, and reliability for enterprise scale. Design API contracts, handle failure modes, and partner with research to productize video understanding features.

Own and build GTM systems and automations across HubSpot, Clay, and partner integrations. Design quote-to-cash flows, maintain AWS co-sell pipeline, create multi-system workflows, ensure data quality and reporting, prototype and iterate GTM infrastructure, and collaborate with Sales, Growth, and Partnerships leadership.