# Technical Program Manager (Software Engineer) at RunPod

RunPod is hiring a Technical Program Manager (Software Engineer) for a remote role open to applicants in United States. It pays $140k-$165k a year and Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/0141bbea-e403-4e80-94d2-1f876581fd39?utm_medium=ai-agent).

AI Level 1, AI centrality 24 out of 100. Remote (Remote - USA).

## Details

- Company: [RunPod](https://jobsbylevel.com/companies/runpod)
- AI level: AI Level 1 (score 24 out of 100)
- Location: Remote (Remote - USA)
- Salary: $140k-$165k
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/0141bbea-e403-4e80-94d2-1f876581fd39?utm_medium=ai-agent

## Description

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 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 looking for people who care deeply, build with urgency, and want to matter at scale. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers . 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. The ideal candidate is a self-starter who thrives in a fast-paced, dynamic environment and can drive execution through ambiguity with confidence and clarity. 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. The ideal candidate is a dynamic problem solver - not a pure process follower. Responsibilities: Partner with engineering leads to understand squad architecture, constraints, and technical debt, and build plans that reflect how the systems actually behave. Own planning and delivery for complex, multi-team programs: scope, sequencing, dependencies, and timelines, with close attention to cross-service and cross-region dependencies. Identify technical risk early (scaling limits, failure modes, capacity constraints, migration complexity) and drive mitigation before it reaches customers or commitments. Participate in design and architecture reviews, surfacing gaps in rollout plans, observability, and fault tolerance. 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. Run post-launch and post-incident reviews, and drive the resulting improvements to completion. Requirements: 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. Experience with observability and operational practices (metrics, logging, tracing, SLOs, incident response) and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/technical-program-manager-software-engineer-at-runpod-3b0001

Source: https://jobsbylevel.com/jobs/technical-program-manager-software-engineer-at-runpod-3b0001

## Cite this page

Level. https://jobsbylevel.com/jobs/technical-program-manager-software-engineer-at-runpod-3b0001.

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