Technical Program Manger

About the role

Runpod is the AI Developer Cloud, used by over one million developers—from indie researchers to teams running frontier models in production—to experiment, train, fine-tune, deploy, and scale AI on one platform. With more than 20 billion inference requests processed and a $100M Series A closed in June 2026, we're building the platform the next generation of developers will depend on. We're a small, remote-first team that takes ownership seriously, moves fast, and ships work relied upon by millions daily.

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, ensuring 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 (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.
• 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.

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, competing priorities, and tight deadlines.
• A collaborative team player who values ownership, clarity, accountability, and follow-through over rigid process.
• Exceptional verbal and written communication skills, with the ability to align stakeholders across teams and functions.
• Solution-oriented and adaptable, comfortable navigating ambiguity and resolving challenges creatively under pressure.

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.

Benefits

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

Pay

The competitive base pay for this position ranges from $140,000 to $165,000. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on factors such as the candidate’s experience, qualifications, and location.