AI infrastructure with on-demand GPUs and serverless compute. Run training, inference, and batch workloads on the cloud with Runpod. Backed by AI Grant.
About the role
Drive Product Vision & Strategy: Define the long-term vision and short-term roadmap for Runpod’s product suite. Anticipate the evolving needs of the AI/ML ecosystem and position Runpod as the premier infrastructure choice for AI builders. Deep Customer Obsession: Act as the voice of the user. Spend significant time with ML engineers, AI startups, and enterprise customers to uncover friction points, gather requirements, and validate new feature concepts.
More about this role
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.
We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.
Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers .
We’re looking for a Director, Product Management to define and execute the product vision for Runpod’s AI cloud platform. This role owns the end-to-end product lifecycle for our core offerings, including serverless endpoints, GPU instances (Pods), AI foundational services, developer APIs, and the overarching user experience. You will build and lead a high-performing product and design organization...
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