Technical Program Manager – Software Engineer

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $140k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 Technical Program Manager

👻 Ghost score 10%

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Runpod

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 $20M Seed on 2024-06

Artificial Intelligence • SaaS • B2B

Runpod is a cloud platform that provides on-demand GPU compute and managed infrastructure tailored for AI development and deployment. It offers GPU "Pods" across 31 global regions, serverless GPU endpoints for low-latency inference, multi-node GPU clusters for distributed training, and a hub for deploying open-source models and templates. Runpod emphasizes fast startup (sub-200ms cold starts), autoscaling from zero to thousands of workers, support for 30+ GPU SKUs, and tooling for the full AI lifecycle from experiment to production, targeting developers and enterprise AI teams.

📋 Description

• 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