Top Tech Jobs & Startup Jobs in Austin, TX

Partner with data center operations leaders to design org structures, manage shift workforce scheduling and fatigue, handle employee relations investigations and resolutions, build onsite shift-based people programs, and support retention and safety-adjacent HR work across distributed sites.

Own reliability for named customer workloads; debug distributed systems across hardware, fabric, and scheduler; run customer-facing incident communications; convert recurring customer pain into engineering fixes; support large-scale compute customers and push internal teams to resolve root causes.

Serve as HR business partner for client orgs: hiring, performance, structure, and employee relations. Run end-to-end ER investigations, scale people rhythms (onboarding, reviews, offboarding), coach first-time managers, and implement AI/automation and people systems to support rapid 10x growth.

Lead sourcing for all site-readiness services (temporary power, water, security, waste, facilities). Build repeatable sourcing playbooks, negotiate regional/multi-site agreements, and align procurement schedules with construction and operations to prevent service gaps.

Lead and build the people function for rapid (10x) growth: design scalable employee lifecycle systems, implement people programs and HRIS, embed AI into people operations, partner on org design and compensation, manage multi-state and international employment compliance, and own internal communications and culture.

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.

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, 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.

Responsible for overseeing physical infrastructure installation projects, ensuring quality control, managing contractors, and acting as a subject matter expert in fiber optics and structured cabling.