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

The Business Process Controls Lead will design and improve core business processes, enhance operational efficiencies, and collaborate with cross-functional teams to support growth.

The Program Manager for Deployments will lead large-scale AI infrastructure projects, coordinating between teams, managing deployments, and maintaining project documentation.

Lead and scale talent acquisition for Fluidstack's Data Center organization: own hiring strategy, execute critical searches, build and manage a TA team, partner with senior hiring managers on workforce planning, design fast high-quality hiring processes, and own recruiting metrics and infrastructure.

Own hiring strategy and execution for the Software organization and scale TA across manufacturing, supply chain, and operations. Build and lead a team of recruiters, sourcers, and coordinators; partner with senior hiring managers on forecasting and mapping talent needs; design hiring processes, ATS workflows, interview rubrics, and metrics; run critical searches (including hard-to-fill skilled trades and procurement roles); and drive employer brand and recruiting performance.

Build and maintain foundational infrastructure platforms (CMDB, DCIM, asset lifecycle, monitoring, observability, automation). Deliver self-service tooling, workflow orchestration, integrations, and scalable, reliable systems while partnering with operations, security, and product teams. Drive technical direction, CI/CD, IaC, and production readiness for fleet-scale data center infrastructure.

Build and operate the observability platform, data pipelines, and production control plane for a hyperscale GPU fleet. Define infrastructure API surfaces, ensure fleet state is source of truth, integrate new hardware (ZTP/DHCP/DNS), and maintain Kubernetes-based infrastructure and SLOs. Own incidents, postmortems, and system reliability.

Design end-to-end datacenter network architectures for AI training and inference: topology, IP/routing, RDMA/lossless fabrics, physical integration (rack, power, cabling), and comprehensive HLD/LLD documentation. Collaborate with hardware, operations, cabling, software, and validation teams to produce deployable, scalable, and performance-validated designs.

Design, build, and operate the observability and control-plane for a hyperscale GPU fleet. Own data pipelines, API surface, fleet state as source-of-truth, distributed command execution, and clean hardware/site onboarding (ZTP/DHCP/DNS). Ensure production reliability, run incidents, and drive automation to eliminate toil.

Manage the end-to-end contracting process: draft, review, negotiate, and close procurement, license, NDA, and service agreements. Build templates, playbooks, and AI-assisted review workflows. Partner with legal, finance, and procurement to ensure post-signature obligations and approvals stay connected.

Lead and command major security incidents, own 24/7 on-call coverage and SLAs, build and manage a senior incident response team, coordinate executive/legal/customer communications, integrate cyber, physical, and OT/data center response, run post-incident reviews and remediation, and define agentic triage and feedback to detection engineering and threat intelligence.