Senior Product Manager

RunPod
United States
Workplace: RemoteFull timeUSD 175,000 - 225,000 annuallyFunction: Product ManagementSkills: ["Customer empathy","Analytical rigor","Commercial judgment","Communication","Leadership"]

Own a multi-quarter roadmap for a high-impact area of an AI infrastructure platform, tying strategy and execution to revenue growth, adoption, retention, gross margin, and customer outcomes. Define target markets and personas, build business cases with ROI and willingness-to-pay analysis, and drive KPI-driven decision-making. Partner across Engineering, Design, Sales, Marketing, Customer Success, Infrastructure, Finance, Partnerships, and Legal to deliver reliable platform capabilities and measurable go-to-market results.

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FursaFursa
RunPod
RunPod
1 month ago

Senior Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Own a multi-quarter roadmap for a high-impact area of an AI infrastructure platform, tying strategy and execution to revenue growth, adoption, retention, gross margin, and customer outcomes. Define target markets and personas, build business cases with ROI and willingness-to-pay analysis, and drive KPI-driven decision-making. Partner across Engineering, Design, Sales, Marketing, Customer Success, Infrastructure, Finance, Partnerships, and Legal to deliver reliable platform capabilities and measurable go-to-market results.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Own and execute a multi-quarter product strategy for a high-impact area of the AI infrastructure platform tied to revenue, adoption, retention, gross margin, and customer outcomes.
  • •Define target markets, customer segments, buyer/user personas, and ideal customer profiles using research, usage data, sales insights, competitive analysis, and market trends.
  • •Build business cases for major product investments, including market opportunity, pain points, willingness to pay, competitive dynamics, risks, adoption barriers, and expected ROI.
  • •Develop and manage a KPI-driven roadmap and define, track, and report product and business metrics (activation, conversion, usage growth, revenue contribution, retention/expansion, churn, compute utilization, gross margin, time-to-value, NPS, feature engagement).
  • •Partner cross-functionally with Engineering, Design, Infrastructure, Sales, Marketing, Customer Success, Finance, Partnerships, and Legal to deliver platform capabilities and drive go-to-market readiness and launch execution.

Pay and Benefits

Salary: USD 175,000 - 225,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid LeaveRemote WorkHome Office

Key Requirements

  • •6+ years of product management experience owning technical/infrastructure or developer platform, cloud, AI/ML, enterprise software, marketplace, or usage-based products.
  • •Proven ability to operate products at significant scale, serving millions of users or high-volume infrastructure workloads.
  • •Demonstrated decision-making in environments where reliability, performance, usability, cost efficiency, and customer trust are critical.
  • •Strong business judgment connecting product strategy to revenue growth, acquisition, retention, expansion, margin improvement, or operational efficiency.
  • •Deep analytical capability defining KPIs and using data to analyze funnels, usage trends, cohorts, and launch impact.
Experience:AI infrastructureDeveloper platformCloudEnterprise softwareUsage-based products
Skills:Customer empathyAnalytical rigorCommercial judgmentCommunicationLeadership
Tech Stack:AI/MLAPIsCloudDistributed systemsCompute utilization

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

RunPod
Provides on-demand GPU cloud and marketplace services for machine learning workloads, offering rentable GPU instances, scalable compute for training and inference, and tools to run ML jobs cost-effectively without long-term commitments.
Industry: Cloud Computing
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