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Runpod

Rents cloud GPUs for building AI applications

Senior Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA$175k - $225k

About the Job

Requirements

  • At least 6 years of product management experience, ideally owning a technical, infrastructure, developer platform, cloud, AI/ML, enterprise software, marketplace, or usage-based product.
  • Experience operating products at significant scale, ideally serving millions of users, hundreds of thousands of developers, large enterprise customers, or high-volume infrastructure workloads.
  • Ability to make product decisions in scaled environments where reliability, performance, usability, cost efficiency, and customer trust are critical.
  • Strong business judgment and a track record of connecting product strategy to revenue growth, customer acquisition, retention, expansion, margin improvement, or operational efficiency.
  • Deep analytical capability, including defining key performance indicators, analyzing funnels, interpreting usage trends, evaluating cohorts, measuring launch impact, and using data to prioritize roadmap decisions.
  • Experience building business cases for product investments, including market sizing, customer segmentation, return on investment analysis, adoption assumptions, competitive positioning, and financial impact.
  • Customer discovery skills, including engaging prospects and customers, uncovering business and technical pain points, and translating insights into scalable product opportunities.
  • Ability to understand technical domains such as infrastructure concepts, application programming interfaces, developer workflows, cloud platforms, distributed systems, AI/ML workloads, or usage-based compute products.
  • Ability to partner cross-functionally with Engineering, Design, Sales, Marketing, Customer Success, Finance, Infrastructure, Legal, and executive teams to drive alignment and execution.
  • Ability to craft clear strategy documents, executive narratives, roadmap updates, launch plans, and business cases in ambiguous, fast-moving environments.

Responsibilities

  • Own and execute a multi-quarter product strategy for a high-impact area of Runpod’s AI infrastructure platform, directly tied to revenue growth, adoption, retention, gross margin, customer outcomes, and platform expansion.
  • Define the target market, customer segments, buyer personas, user personas, and ideal customer profile using customer research, product usage data, sales insights, competitive analysis, and market trends.
  • Build business cases for major product investments, including market opportunity, customer pain points, willingness to pay, competitive dynamics, adoption barriers, risks, and expected return on investment.
  • Develop and manage a key performance indicator-driven roadmap where every major initiative has a clear customer problem, business objective, success metric, leading indicator, and measurable impact.
  • Define, track, and report on key product and business metrics, including activation, conversion, usage growth, revenue contribution, retention, expansion, churn, compute utilization, gross margin, time-to-value, net promoter score, and feature engagement.
  • Use quantitative and qualitative data to guide product decisions, prioritize roadmap tradeoffs, evaluate launch performance, and continuously refine strategy.
  • Conduct frequent customer discovery with prospects, customers, partners, and internal go-to-market teams to identify scalable market opportunities and validate product direction.
  • Partner with Engineering, Design, and Infrastructure to deliver reliable, scalable, and intuitive platform capabilities that improve customer outcomes and support business growth.
  • Collaborate with Sales, Marketing, Customer Success, Finance, Partnerships, and Legal to drive go-to-market readiness, including positioning, pricing and packaging input, launch planning, enablement, onboarding, and expansion motions.
  • Communicate product strategy, business impact, roadmap progress, competitive insights, key risks, and tradeoffs clearly to executives, strategic customers, and cross-functional stakeholders.
  • Define a clear product strategy tied to company-level growth objectives.
  • Identify and prioritize the highest-value customer and market opportunities.
  • Build a key performance indicator framework that guides roadmap decisions and measures impact.
  • Launch product capabilities that improve adoption, retention, revenue, and customer outcomes.
  • Partner with go-to-market teams to improve positioning, pricing, sales enablement, and customer success.
  • Use data to make better decisions, challenge assumptions, and refine strategy.
  • Communicate clearly with executives, customers, and cross-functional teams.
  • Help Runpod strengthen its position as an AI infrastructure platform.

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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