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Runpod

Rents cloud GPUs for building AI applications

Director, Product Management

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA$225k - $325k

About the Job

Requirements

  • At least 7 years of product management experience, including at least 3 years in a leadership role managing product managers and designers in a hyper-growth environment.
  • Deep experience building SaaS, PaaS, IaaS, or developer-facing products, with a strong understanding of cloud infrastructure, GPUs, container orchestration such as Kubernetes, and AI/ML workflows.
  • Ability to engage deeply with engineering and infrastructure leaders and understand modern backend architectures, API design, and distributed systems; coding is not required.
  • Demonstrated ability to turn complex, ambiguous problems into successful shipped products that drive measurable business outcomes.
  • Experience building culture, alignment, and momentum across distributed technical and commercial teams.
  • Ability to communicate effectively in writing and verbally and articulate product vision to the board, company, and developer community.
  • Successful completion of a background check.

Responsibilities

  • 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 an infrastructure choice for AI builders.
  • 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, and establish a culture of high standards, user empathy, and rapid iteration.
  • Partner with infrastructure and engineering leadership to ensure roadmaps are technically feasible, reliable, and delivered on time; translate infrastructure capabilities such as HPC networks and storage engines into developer experiences.
  • Work with Marketing and Sales to define pricing models for compute, storage, and serverless usage, and guide product marketing on positioning and launch strategies.
  • Establish a metrics-driven product management approach and use product analytics, churn data, and customer feedback to prioritize the backlog and maximize business impact.
  • Champion developer experience and ensure the console, CLI, APIs, and SDKs are intuitive, well-documented, and reduce time-to-value for new users.

Desired Qualifications

  • Direct experience launching products for ML Ops, model training, serverless inference, or LLM deployment.
  • A strong public presence or active engagement with AI/ML and open-source developer communities.
  • Previous experience as a software engineer, ML engineer, or data scientist before transitioning to product management.

About the Company

Runpod

Rents cloud GPUs for building AI applications

Runpod rents cloud computing power to developers and businesses building AI applications, with GPUs for model training, fine-tuning, and running models for users. Its Pods give teams a dedicated environment to run their own containers, while Serverless turns code into endpoints that adjust capacity to incoming requests. Clusters link multiple GPUs for larger training jobs, and the platform includes tools to deploy and monitor workloads through a web console or software interfaces. Customers pay for metered compute time and storage, with options for reserved resources and enterprise support. Runpod was founded in 2022 and is headquartered in San Francisco, California.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$122.3M
Headquarters
San Francisco, CA
Founded
2022

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