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Product Manager, Enterprise Core Platform

Scale AI· Enterprise Product
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Hybrid (New York, NY), Hybrid (San Francisco, CA)$240k - $300kfull-timePosted 4mo ago

About the role

Platform-focused Product Manager role owning core infrastructure that supports AI deployment across enterprises; responsible for defining foundation, sequencing work, graduating patterns to core, and maintaining quality across platform capabilities.

Responsibilities

  • Define the foundation. Determine what needs to be true at the core platform layer — across each capability pillar — before anything reliable can be built on top of it.
  • Sequence it. Prioritize and order platform work given customer commitments, FD team velocity needs, and blockers.
  • Identify patterns and graduate capabilities. Observe FD teams’ builds, decide what is reusable, and when to move to core.
  • Hold the quality bar. Ensure capabilities are necessary and well-executed so customers trust them.
  • Unlock delivery team time to value. Build a secure, deployable, observable platform with agentic primitives and data reasoning capabilities.
  • Partner across the organization. Collaborate with platform engineering, forward deployed PMs, and BU leads to surface signal and align on roadmap priorities.

Qualifications

  • 6+ years in product management with meaningful time owning platform, infrastructure, or developer-facing products at production bar.
  • Demonstrated record of defining and shipping platform capabilities with architectural decisions, production requirements, and learnings.
  • Strong sequencing judgment to prioritize amid competing customer commitments and team velocity.
  • Technical fluency to discuss architectural tradeoffs with platform engineers across infra, auth, observability, deployment, and agent runtime.
  • Extreme ownership and follow-through; drives outcomes across teams without formal authority.
  • Clear, precise communication; adapts messaging for different audiences.

Skills

Required:Platform foundation ownershipSequencing and prioritizationPattern recognitionQuality disciplineCross-functional influenceOperating in ambiguityTechnical fluency (infra, auth, observability, deployment, agent runtime)

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend (eligible in some cases)
Last updated Jul 15, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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