GPU Compute Deployment Program Manager

San Francisco Compute Company; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Generous equity grant

Visa Sponsorships

401(k) matching

Medical, dental & vision insurance

Unlimited PTO

Job summary

San Francisco Compute Company is hiring a Deployment Project Manager for the Compute Deals team. This role owns post-deal execution: standing up clusters, bring-up, validation, and successful customer go-live, coordinating with Engineering and GTM until the cluster is live.

You will lead multiple concurrent GPU deployments, manage delivery milestones, and ensure smooth contract-to-kickoff transitions while maintaining strong partner relationships and clear status updates for internal and

Qualifications

• 3+ years in technical program or project management, preferably in data center/infrastructure hardware or telecom
• Track record of managing complex, multi-stakeholder programs over months
• Excellent cross-functional communication with hardware engineers and deal leads
• High ownership and bias to action; escalate early when needed

Responsibilities

• Cross-Functional & Customer Coordination: translate status to internal stakeholders and coordinate with teams
• Partner & Account Management: manage partner communications and contract handoffs into deployment
• Process & Reporting: run dashboards, trackers and standups for deployment progress
• Deployment Ownership: lead end-to-end deployment from contract handoff to go-live and validation
• BOM & Technical Validation: reconcile BOMs with contracted specs and verify rack/node configs

Skills

Cross-functional communication

Ownership & bias to action

Program management

Job description

San Francisco Compute Company is hiring a Deployment Project Manager for the Compute Deals team. This role owns post-deal execution: standing up clusters, bring-up, validation, and successful customer go-live, coordinating with Engineering and GTM until the cluster is live.

You will lead multiple concurrent GPU deployments, manage delivery milestones, and ensure smooth contract-to-kickoff transitions while maintaining strong partner relationships and clear status updates for internal and