Technical Program Manager - Runpod

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.

We're seeking a Technical Program Manager (TPM) who combines strong technical depth with exceptional organizational and communication skills. The ideal candidate is a self-starter who thrives in a fast-paced, high-growth environment and drives execution through ambiguity with confidence and clarity.

As a TPM at RunPod, you'll play a central role in leading complex, cross-functional programs across product and platform teams. This role sits inside our Supply organization — you'll be the connective tissue between Engineering, Product, Data Center Management, and our host partner teams, working to make sure GPU capacity keeps pace with demand.

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 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.
• 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.
• Act as the primary point of contact across these teams: spot risks and roadblocks early, and keep stakeholders aligned with clear 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.

Requirements

• Previous experience in infrastructure-focused organizations, with exposure to capacity planning, data center operations, or vendor/partner management.
• 4+ years of experience or equivalent expertise in technical program management, leading complex technology programs from planning through delivery.
• Proven track record of partnering with 3+ cross-functional teams to deliver high-impact programs from planning through launch.
• Proven track record of 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 clear planning recommendations.
• Deep understanding of the software development lifecycle (SDLC) and how engineering teams design, build, test, and ship products.
• Highly organized and detail-oriented, with a track record of catching issues before they become blockers.
• Demonstrated ability to independently build, track, and execute programs in dynamic environments with multiple dependencies.
• Exceptional verbal and written communication skills, with the ability to align stakeholders across teams and functions.

Preferred Qualifications

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