Runpod logo
Runpod
Posted 48 days agoVerified live 2d ago

Technical Program Manger

Brief overview

Remote
UndergradOr in progress
$140k–$165k/yrStated range
4+ yrsMinimum
6 H-1B approvalsDept. of Labor
Technical Program ManagementInfrastructure Capacity PlanningData Center OperationsVendor and Partner ManagementCross-Functional Program DeliveryInfrastructure and Hardware Vendor ManagementScalable SaaS/IaaS ProductsQuantitative and Analytical SkillsSoftware Development Lifecycle (SDLC)AI/ML PlatformsGPU and Cloud InfrastructureWritten and Verbal Communication

About the company

Runpod logo
Runpodrunpod.io

Runpod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications.

Visa sponsorship history

2 years sponsoring, last filed FY2025

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
6H-1B approved
100%approval rate
3new H-1B hires
$130,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20242
20254
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20241
20251
Top sponsored roles
Director of Customer EngineeringSenior Support Engineer

Job description

Summary

Runpod is the AI Developer Cloud, providing infrastructure for developers and teams to experiment with, train, deploy, and scale AI workloads. The Technical Program Manager will lead complex cross-functional programs across Engineering, Product, Data Center Management, and host partner teams, focusing on GPU capacity, supply, cost, and reliability. The role will drive planning, execution, stakeholder alignment, partner escalation, risk management, and infrastructure evaluations.

Responsibilities

  • Partner with Data Center Management and Host/Supply teams to run the capacity and utilization review cadence that feeds Supply's input into the product roadmap — surfacing constraints early (host churn, new capacity coming online, regional gaps) and turning them into actionable planning input
  • Own the relationship and escalation path with host and infrastructure partners — resolving capacity, performance, or contractual issues quickly, and keeping Engineering and Product informed of anything that could affect delivery.Own the relationship and escalation path with host and infrastructure partners — resolving capacity, performance, or contractual issues quickly, and keeping Engineering and Product informed of anything that could affect delivery
  • Translate capacity and utilization data into concrete tradeoffs: where to add supply, where to consolidate, and how each option nets out on cost and reliability
  • Build and drive project plans across Engineering, Product, and Supply stakeholders — scoping work, sequencing dependencies, and setting timelines that hold up against real-world constraints like partner lead times and hardware delivery
  • Act as the primary point of contact across these teams: spot risks and roadblocks early, and keep stakeholders aligned with clear, regular status updates
  • Bring technical judgment to evaluations of infrastructure tools, platforms, and vendor products, recommending what best fits RunPod's scale and constraints
  • Run post-program reviews on completed initiatives, capturing what worked, what didn't, and what should change for the next cycle

Skills

  • 1. Previous experience in infrastructure-focused organizations, with exposure to capacity planning, data center operations, or vendor/partner management
  • 2. 4+ years of experience or equivalent expertise in technical program management, leading complex technology programs from planning through delivery
  • 3. Proven track record of partnering with 3+ cross-functional teams to deliver high-impact programs from planning through launch
  • 4. Proven track record of working with external infrastructure or hardware vendors globally
  • 5. Strong technical background in engineering and scalable SaaS/IaaS products or services
  • 6. Strong quantitative and analytical skills, with the ability to turn capacity, cost, and delivery data into clear planning recommendations
  • 7. Deep understanding of the software development lifecycle (SDLC) and how engineering teams design, build, test, and ship products
  • 8. Highly organized and detail-oriented, with a track record of catching issues before they become blockers
  • 9. Demonstrated ability to independently build, track, and execute programs in dynamic environments with multiple dependencies, competing priorities, and tight deadlines
  • 10. A collaborative team player who values ownership, clarity, accountability, and follow-through over rigid process
  • 11. Exceptional verbal and written communication skills, with the ability to align stakeholders across teams and functions
  • 12. Solution-oriented and adaptable, comfortable navigating ambiguity and resolving challenges creatively under pressure
  • 1. Previous experience in AI/ML developer platforms, GPU/cloud infrastructure, or other hardware-capacity-constrained environments
  • 2. Experience at an early-stage or high-growth startup
  • 3. Technical degree in Computer Science, Engineering, or a related field

Qualifications

Must Haves

  • 1. Previous experience in infrastructure-focused organizations, with exposure to capacity planning, data center operations, or vendor/partner management
  • 2. 4+ years of experience or equivalent expertise in technical program management, leading complex technology programs from planning through delivery
  • 3. Proven track record of partnering with 3+ cross-functional teams to deliver high-impact programs from planning through launch
  • 4. Proven track record of working with external infrastructure or hardware vendors globally
  • 5. Strong technical background in engineering and scalable SaaS/IaaS products or services
  • 6. Strong quantitative and analytical skills, with the ability to turn capacity, cost, and delivery data into clear planning recommendations
  • 7. Deep understanding of the software development lifecycle (SDLC) and how engineering teams design, build, test, and ship products
  • 8. Highly organized and detail-oriented, with a track record of catching issues before they become blockers
  • 9. Demonstrated ability to independently build, track, and execute programs in dynamic environments with multiple dependencies, competing priorities, and tight deadlines
  • 10. A collaborative team player who values ownership, clarity, accountability, and follow-through over rigid process
  • 11. Exceptional verbal and written communication skills, with the ability to align stakeholders across teams and functions
  • 12. Solution-oriented and adaptable, comfortable navigating ambiguity and resolving challenges creatively under pressure

Nice to Haves

  • 1. Previous experience in AI/ML developer platforms, GPU/cloud infrastructure, or other hardware-capacity-constrained environments
  • 2. Experience at an early-stage or high-growth startup
  • 3. Technical degree in Computer Science, Engineering, or a related field

Benefits

  • Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.
  • Generous medical, dental & vision plans
  • Flexible PTO- take the time you need to recharge
  • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
  • $1,200 Home Office & Equipment Stipend-We set you up for success from day one with gear and support to create your ideal workspace

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