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

Own Alembic’s commercial legal function, including enterprise SaaS contracts, data-processing agreements, security exhibits, NDAs, partnerships, infrastructure procurement, and data-protection matters. Build contracting templates, fallback positions, escalation paths, and legal processes that accelerate sales. Advise on AI regulation, GDPR, CCPA, strategic transactions, financing, vendor agreements, and customer security reviews while partnering directly with Sales, Finance, Security, Infrastructure, and corporate leadership.

Own corporate IT end-to-end: employee lifecycle (onboarding/offboarding), device and identity management, first-line internal support, partner with Engineering and Security, and script/automate provisioning and routine work to scale IT.

The Senior Site Reliability Engineer will design and maintain scalable infrastructure, improve system reliability, manage CI/CD pipelines, and collaborate across teams for operational excellence.

Build and qualify top-of-funnel pipelines for hard technical searches (engineering and science). Conduct market mapping, channel development, personalized outreach, and first-round qualification. Validate pipelines with hiring managers, convert outreach to screens, and create lasting talent infrastructure: pools, nurture sequences, tracking, and new channels.

Own and close 6-8 full-cycle technical searches (backend, SRE, data engineering), partner with engineering leaders, run structured hiring with scorecards and fast feedback, and close multiple high-bar technical hires while building hiring processes and pipelines.

The Research Engineer will design and implement innovative approaches to marketing measurement, build production systems, and develop algorithms to solve complex marketing attribution problems.

Join Alembic as Patent Counsel to protect breakthroughs in causal AI by navigating legal strategies, patent applications, and managing the IP portfolio.

The Senior Applied AI Engineer will build and enhance backend services using Python, working closely with data, infrastructure, and APIs to meet customer needs while ensuring system performance and reliability.

Design, operate, and automate global network and reliability infrastructure for large-scale ML workloads and a private supercomputer. Own device configuration management, protocols (BGP, VPNs, WAN), datacenter fabrics, monitoring/SLOs, incident response, security/compliance, and cross-team reliability improvements.