Technical Program Manager (Software Engineer)
Runpod · Remote · Remote - USA ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (US eligible)
- AI & GPU Infrastructure
- Distributed Systems Focus
- No visa sponsorship
- Equity + Competitive Pay
Join Runpod as a Technical Program Manager to drive execution for complex, multi-team programs across product and platform groups. You will help build the core cloud systems that schedule and scale customer workloads on GPU infrastructure, ensuring high availability and performance for over a million developers.
What you'll do
- Partner with engineering leads to map squad architecture and technical debt into realistic plans
- Own planning and delivery for complex programs involving cross-service dependencies
- Identify technical risks like scaling limits early and drive mitigation strategies
- Participate in design reviews to ensure rollout plans include observability and fault tolerance
- Drive launch readiness through staged releases, rollback plans, and load testing
- Serve as primary contact for stakeholders with clear status updates and risk escalation
- Define and track success metrics for performance, reliability, and cost with Data and Product teams
- Coordinate with Supply and Data Center teams on capacity impacts to roadmaps
What you'll need
- 3+ years in TPM or software engineering for cloud/infrastructure products
- Hands-on experience with production distributed systems and consistency tradeoffs
- Familiarity with cloud fundamentals: compute, networking, storage, and containers
- Ability to review architecture docs and discuss reliability and latency with senior engineers
- Experience using observability tools like metrics, logging, and tracing for decision making
- Track record of delivering high-impact programs across three or more cross-functional teams
- Strong quantitative skills to turn system data into clear recommendations
- Exceptional written and verbal communication skills for stakeholder alignment
Nice to have
- Experience in AI/ML developer platforms or GPU infrastructure
- Background in fast-paced startup environments
- Technical degree in Computer Science or Engineering
Stack
- GPU Infrastructure
- Distributed Systems
- Cloud Compute
- Kubernetes
- Observability Tools
How you'll work
- Fully remote work policy
- Slack used for internal communication
- Must be eligible to work in the United States
- No visa sponsorship available
What you get
- Base salary range $140,000 - $165,000
- Meaningful equity and stock options for all employees
- Generous medical, dental, and vision plans
- Flexible paid time off policy
- $1,200 home office and equipment stipend