Technical Program Manager – Software Engineer
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Job Description
Technical Program Manager leading complex distributed-systems programs at Runpod, an AI Developer Cloud. Coordinating engineering, SRE, supply, and data-center teams across scalable GPU infrastructure.
Responsibilities:
- Partner with engineering leads to understand squad architecture, constraints, and technical debt
- Own planning and delivery for complex, multi-team programs, including scope, sequencing, dependencies, and timelines
- Identify technical risks and drive mitigation before customer or delivery impact
- Participate in design and architecture reviews
- 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 stakeholder contact with regular status updates and early risk escalation
- Define and track success metrics for performance, reliability, utilization, and cost
- Partner with SRE to build visibility into system health and balance reliability, scale, and new capabilities
- Coordinate with Supply and Data Center teams on capacity and infrastructure changes
- Run post-launch and post-incident reviews and drive 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
- Deep understanding of consistency and availability tradeoffs, queueing, scheduling, autoscaling, load balancing, failure handling, and performance at scale
- Hands-on familiarity with 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
- Experience with observability and operational practices, including metrics, logging, tracing, SLOs, and incident response
- Proven track record delivering multiple high-impact programs across 3+ cross-functional teams from planning through launch
- Strong quantitative skills and ability to turn system and cost data into clear recommendations
- Deep understanding of the software development lifecycle
- Exceptional written and verbal communication
- Highly organized, proactive, and calm under pressure
- Eligible to work in the United States
- Must not require employment visa sponsorship
- Technical degree in Computer Science, Engineering, or related field (preferred)
Benefits:
- Meaningful equity; everyone on the team receives stock options
- Generous medical, dental & vision plans
- Flexible PTO
- Remote-first work environment
- Inclusive, collaborative teams utilizing Slack
- Passionate team on the cutting edge of AI infrastructure
- $1,200 Home Office & Equipment Stipend
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