
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.
🔥 15 hours ago
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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.
• Define and execute the product vision for Runpod’s AI cloud platform • Own the end-to-end product lifecycle for serverless endpoints, GPU instances (Pods), AI foundational services, developer APIs, and the overall user experience • Build and lead a high-performing product and design organization • Define the long-term vision and short-term roadmap for Runpod’s product suite • Anticipate AI/ML ecosystem needs and position Runpod as a premier infrastructure choice • Spend significant time with ML engineers, AI startups, and enterprise customers to uncover friction points, gather requirements, and validate feature concepts • Hire, mentor, and grow product managers, UI/UX designers, and technical writers • Establish a culture of high standards, user empathy, and rapid iteration • Partner with Infrastructure, Engineering, and GTM leadership • Ensure roadmaps are technically feasible, reliable, and delivered on time • Translate complex infrastructure capabilities into seamless developer experiences • Define pricing models for compute, storage, and serverless usage • Guide product marketing on positioning and launch strategies • Establish metrics-driven product management using analytics, churn data, and customer feedback • Prioritize the backlog to maximize business impact • Champion the developer experience across the console, CLI, APIs, and SDKs • Ensure products are intuitive, well-documented, and reduce time-to-value for new users
• 7+ years of product management experience • At least 3+ years in a leadership role managing other PMs and designers in a hyper-growth environment • Deep experience building SaaS, PaaS, IaaS, or developer-facing products • Strong understanding of cloud infrastructure, GPUs, Kubernetes, and AI/ML workflows • Ability to engage deeply with engineering and infrastructure leaders • Understanding of modern backend architectures, API design, and distributed systems • Demonstrated ability to turn complex, ambiguous problems into successful, shipped products with measurable business outcomes • Experience building culture, alignment, and momentum across distributed technical and commercial teams • Exceptional written and verbal communication • Successful completion of a background check • Direct experience launching products for MLOps, model training, serverless inference, or LLM deployment (preferred) • Strong public presence or active engagement with AI/ML and open-source developer communities (preferred) • Previous experience as a software engineer, ML engineer, or data scientist before transitioning to product management (preferred) • Eligible to work in the United States • Runpod is currently unable to sponsor employment visas
• Meaningful equity; everyone on the team receives stock options • Generous medical, dental & vision plans • Flexible PTO • Remote-first work arrangement • Inclusive, collaborative team using Slack for internal communication • Passionate team on the cutting edge of AI infrastructure • $1,200 Home Office & Equipment Stipend
Apply Now🔥 15 hours ago
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