Drimva

Runpod

Technical Program Manager (Software Engineer)

$140K–$195K

Remote - USA · Remote · Manager · Full-time · Posted Oct 13, 2026

Experience
3+ years in technical program management or software/infrastructure engineering.
Visa sponsorship
Unable to sponsor employment visas; applicants must be eligible to work in the United States.

About the job

Leads cross-functional programs to plan, launch, and improve Runpod’s distributed cloud platform for scheduling, scaling, routing, and running workloads on GPU infrastructure across regions.

What you'll do

  • Plan and deliver complex, multi-team programs, coordinating scope, sequencing, dependencies, and timelines.
  • Identify technical risks and guide design reviews, launch readiness, safe rollouts, and operational handoffs.
  • Align stakeholders on progress, risks, and success metrics; drive post-launch and post-incident improvements.

What they ask for

  • 3+ years in technical program management or software/infrastructure engineering, leading complex programs for cloud or infrastructure products.
  • Hands-on production distributed-systems engineering experience and understanding of cloud infrastructure fundamentals, including multi-region architectures.
  • Experience delivering multiple high-impact programs across 3+ cross-functional teams from planning through launch.
  • Experience with observability and operational practices, plus ability to analyze system and cost data and communicate technical tradeoffs.

Nice to have

  • Experience in AI/ML developer platforms or GPU/cloud infrastructure organizations.
  • Experience in a fast-paced startup environment; technical degree in Computer Science, Engineering, or related field.

Pay

($140,000 - $195,000) USD base salary

Tools

GPU, containers, orchestration, metrics, logging, tracing, SLOs

AI focus

The role supports the cloud platform used to experiment with, train, fine-tune, deploy, and scale AI workloads; no specific AI development work is stated.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)