Product Manager, Compute Operations

FluidStack
New York, San Francisco, Austin, Seattle
Workplace: OnsiteFull timeUSD 245,000 - 300,000 annuallyFunction: Product ManagementSkills: ["Written communication","Technical reasoning","Stakeholder management","Decision-making","Ambiguity management"]

Own product direction for the Compute Production team’s ontology and data products that enable gigawatt-scale AI compute. Turn messy compute production domains into data models, specs, and product surfaces engineers can ship against, driving technical tradeoffs end to end. Partner with compute production stakeholders for discovery and validate real workflow impact using success metrics. Ship with fast autonomy and measurable outcomes.

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FursaFursa
FluidStack
FluidStack
1 month ago

Product Manager, Compute Operations

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Own product direction for the Compute Production team’s ontology and data products that enable gigawatt-scale AI compute. Turn messy compute production domains into data models, specs, and product surfaces engineers can ship against, driving technical tradeoffs end to end. Partner with compute production stakeholders for discovery and validate real workflow impact using success metrics. Ship with fast autonomy and measurable outcomes.
Location: New York, San Francisco, Austin, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Own product direction for the team’s ontology and data products, including roadmap, priorities, and success metrics.
  • •Translate compute production domains into data models, specs, and product surfaces that engineers can implement without extra discovery.
  • •Drive technical tradeoffs with engineers and deliver end to end from problem definition through delivery.
  • •Run direct discovery with compute production stakeholders to understand workflows and ensure what’s built changes how they work.
  • •Define and track metrics proving real leverage, and cut or redirect work that doesn’t deliver impact.

Pay and Benefits

Salary: USD 245,000 - 300,000 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years of technical product management, ideally on data, platform, or ontology products.
  • •Ship products with measurable impact and provide the numbers.
  • •Reason about system design and work through technical tradeoffs with engineers.
  • •Strong written communication: crisp specs and clear prioritization rationale.
  • •Comfort in ambiguity—structure an unmapped operational domain into models others can build on.
Experience:Data productsPlatform productsOntology productsComputeDatacenter operationsInfrastructure systemsLLM-powered applications
Skills:Written communicationTechnical reasoningStakeholder managementDecision-makingAmbiguity management
Tech Stack:LLMLLM-powered applications

Company Brief

FluidStack
Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.
Industry: Cloud Computing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2017
Glassdoor
Glassdoor: 4.7
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