
51 - 200 employees
Founded 2022
đ€ Artificial Intelligence
âïž SaaS
đ€ B2B
đ° $20M Seed on 2024-06
Artificial Intelligence âą SaaS âą 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.
đ„ 0 minutes ago
đșđž United States â Remote
đ” $140k - $165k / year
â° Full Time
đĄ Mid-level
đ Senior
đ§ Technical Program Manager
đ» Ghost score 6%
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51 - 200 employees
Founded 2022
đ€ Artificial Intelligence
âïž SaaS
đ€ B2B
đ° $20M Seed on 2024-06
Artificial Intelligence âą SaaS âą 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.
âą Partner with Data Center Management and Host/Supply teams to run capacity and utilization review cadence âą Surface constraints such as host churn, new capacity, and regional gaps and turn them into actionable planning input âą Own relationships and escalation paths with host and infrastructure partners âą Resolve capacity, performance, and contractual issues and keep Engineering and Product informed âą Translate capacity and utilization data into tradeoffs involving supply, cost, and reliability âą Build and drive project plans across Engineering, Product, and Supply stakeholders âą Scope work, sequence dependencies, and set timelines around partner lead times and hardware delivery âą Act as the primary point of contact across teams, identifying risks and roadblocks early âą Keep stakeholders aligned through clear, regular status updates âą Evaluate infrastructure tools, platforms, and vendor products and recommend solutions âą Run post-program reviews and capture lessons for future cycles
âą Previous experience in infrastructure-focused organizations, with exposure to capacity planning, data center operations, or vendor/partner management âą 4+ years of experience or equivalent expertise in technical program management, leading complex technology programs from planning through delivery âą Proven track record of partnering with 3+ cross-functional teams to deliver high-impact programs from planning through launch âą Proven track record of working with external infrastructure or hardware vendors globally âą Strong technical background in engineering and scalable SaaS/IaaS products or services âą Strong quantitative and analytical skills, with the ability to turn capacity, cost, and delivery data into clear planning recommendations âą Deep understanding of the software development lifecycle (SDLC) âą Highly organized and detail-oriented, with a track record of catching issues before they become blockers âą Ability to independently build, track, and execute programs in dynamic environments with multiple dependencies, competing priorities, and tight deadlines âą Collaborative team-player mindset valuing ownership, clarity, accountability, and follow-through âą Exceptional verbal and written communication skills âą Solution-oriented and adaptable, comfortable navigating ambiguity and resolving challenges creatively under pressure âą Eligible to work in the United States âą Currently unable to obtain employment visa sponsorship âą Preferred: Previous experience in AI/ML developer platforms, GPU/cloud infrastructure, or hardware-capacity-constrained environments âą Preferred: Experience at an early-stage or high-growth startup âą Preferred: Technical degree in Computer Science, Engineering, or a related field
âą Meaningful equity; everyone on the team receives stock options âą Generous medical, dental & vision plans âą Flexible PTO âą Remote-first work environment âą Inclusive, collaborative team using Slack for internal communication âą Passionate team working on cutting-edge AI infrastructure âą $1,200 Home Office & Equipment Stipend âą Learning and ownership-focused culture
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