Technical Program Manger
Leads cross-functional infrastructure and supply programs that balance GPU capacity, cost, and reliability. The role requires 4+ years of technical program management experience, infrastructure or vendor-management expertise, strong analytical skills, and the ability to coordinate Engineering, Product, Supply, and external partners.
About the job
Responsibilities
- Partner with Data Center Management and Host/Supply teams to run capacity and utilization reviews that inform Supply's product roadmap input.
- Surface constraints such as host churn, new capacity, and regional gaps, and turn them into actionable planning input.
- Own relationships and escalation paths with host and infrastructure partners, resolving capacity, performance, and contractual issues.
- Translate capacity and utilization data into tradeoffs involving supply, cost, and reliability.
- Build and drive project plans across Engineering, Product, and Supply, including scope, dependencies, and timelines.
- Serve as the primary cross-functional point of contact, identifying risks and roadblocks and providing regular status updates.
- Evaluate infrastructure tools, platforms, and vendor products using technical judgment.
- Run post-program reviews and capture improvements for future initiatives.
Requirements
- Experience in infrastructure-focused organizations, including capacity planning, data center operations, or vendor and partner management.
- 4+ years of technical program management experience, or equivalent expertise, leading complex technology programs from planning through delivery.
- Experience partnering with three or more cross-functional teams to deliver high-impact programs from planning through launch.
- Experience working with external infrastructure or hardware vendors globally.
- Strong technical background in engineering and scalable SaaS/IaaS products or services.
- Strong quantitative and analytical skills, with the ability to turn capacity, cost, and delivery data into planning recommendations.
- Deep understanding of the software development lifecycle (SDLC).
- Strong organization, attention to detail, communication, stakeholder alignment, adaptability, and problem-solving skills.
Preferred Qualifications
- Experience with AI/ML developer platforms, GPU or cloud infrastructure, or hardware-capacity-constrained environments.
- Experience at an early-stage or high-growth startup.
- Technical degree in Computer Science, Engineering, or a related field.
Compensation & Benefits
- Base pay range: $140,000–$165,000 USD.
- Meaningful equity through stock options.
- Medical, dental, and vision plans.
- Flexible paid time off.
- Remote-first work environment.
- $1,200 home office and equipment stipend.
- Employment is limited to candidates eligible to work in the United States; employment visa sponsorship is unavailable.
Skills
Capacity Planning, Data Center Operations, Vendor Management, Infrastructure, SaaS, Iaas, Gpu Infrastructure, Cloud Infrastructure, SDLC, Project Planning, Risk Management, Quantitative Analysis, Data Analysis, Stakeholder Management, Technical Program Management
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