Technical Program Manager (Software Engineer)

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. Were at an inflection point for AI infrastructure, and were building the platform the next generation of developers will depend on.

Were a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We’re seeking a Technical Program Manager (TPM) who understands how distributed systems are built and why they fail, and pairs that depth with exceptional organizational and communication skills. As a TPM at Runpod, you’ll lead complex, cross-functional programs across product and platform teams, working closely with engineering leads and stakeholders across the company. You’ll help build the core of our cloud platform: the systems that schedule, scale, route, and run customer workloads on GPU infrastructure across regions. You’ll anticipate risks early, keep teams focused on what matters, and deliver high-impact work that creates real value for our customers.
Identify technical risk early (scaling limits, failure modes, capacity constraints, migration complexity) and drive mitigation before it reaches customers or commitments.
Drive launch readiness and safe rollout of platform changes, including staged releases, rollback plans, load and failure testing, and operational handoff.
Serve as the primary point of contact for stakeholders, with clear, regular status updates and risks escalated early alongside options and recommendations.
Work with Data, Product, and Engineering leads to define and track success metrics for performance, reliability, utilization, and cost, tied to customer outcomes.
Partner with SRE to build visibility into system health, and help leadership balance investment in reliability, scale, and new capabilities.
Coordinate with Supply and Data Center teams on how capacity and infrastructure changes affect platform roadmaps.
3+ years in technical program management or software/infrastructure engineering, leading complex programs for cloud or infrastructure products.
~ Hands-on engineering experience on production distributed systems, with deep understanding of consistency and availability tradeoffs, queueing, scheduling, autoscaling, load balancing, failure handling, and performance at scale.
~ Hands-on familiarity with cloud infrastructure fundamentals: compute, networking, storage, containers and orchestration, and multi-region architectures.
~ Ability to read architecture docs, review designs, and hold credible technical conversations with senior engineers, including on reliability, latency, and capacity tradeoffs.
~ Proven track record of delivering multiple high-impact programs across 3+ cross-functional teams, from planning through launch.
~ Strong quantitative skills, with the ability to turn system and cost data into clear recommendations.
~ Deep understanding of the software development lifecycle and how engineering teams design, build, test, and ship production systems.
~ Previous experience in AI/ML developer platforms or GPU/cloud infrastructure-focused organizations.
Technical degree in Computer Science, Engineering, or related field.
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
~ Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.
~$1,200 Home Office & Equipment Stipend-We set you up for success from day one with gear and support to create your ideal workspace

We believe that diversity in all its forms enhances our team. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. however, we are currently unable to sponsor employment visas.