# Engineering Manager - Cloud at Runpod

- Company: Runpod
- What the company does: AI infrastructure with on-demand GPUs and serverless compute. Run training, inference, and batch workloads on the cloud with Runpod. Backed by AI Grant.
- Company website: https://www.runpod.io/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote - USA
- Work setup: Remote
- Pay: $110K to $220K base salary per year (USD)
- Posted: 2026-07-08
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/runpod/e80fc6f8-8590-4161-b6b8-c44ace57f2b1
- Page: https://www.1752.vc/careers/jobs/runpod-engineering-manager-cloud/

## About the role

Own Feature Delivery for a Product Area: Lead a team of engineers responsible for shipping new functionality and iterating existing product surfaces. Deliver predictable, high-velocity outcomes that improve customer experience and business value. Plan and Execute Roadmaps: Translate product strategy into clear technical plans, milestones, and success metrics. Identify tradeoffs early and manage scope, risk, and timelines.

## What they're looking for

- Engineering Management Experience: 2+ years managing a team of high performance software engineers, including ownership of roadmap delivery, hiring/firing, performance, and team culture
- High-Scale Product Delivery: 6+ years as a software engineer building and shipping products used by millions of users , with clear evidence of personal impact
- Systems-Level Technical Depth: Strong experience with Linux systems internals and/or cloud systems engineering - ideally building platform capabilities (orchestration, control planes, distributed services, networking or storage layers)
- Backend or Full-Stack Proficiency: Comfortable reviewing and contributing to code in modern stacks, Go, Python, and/or TypeScript experience preferred
- Distributed/Cloud-Native Architecture: Solid understanding of microservices, APIs, eventing, data stores, and service-to-service communication patterns
- Delivery & Metrics Mindset: Experience running execution processes and using metrics like cycle time, throughput, adoption, and escape defects to improve team flow

Tags: Engineering