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Scale AIScale AINew York, NY

Product Manager, Enterprise Core Platform

Owns the core platform foundation for Scale's agentic operating system. Defines, sequences, and graduates platform capabilities that every forward-deployed team builds on. Requires 6+ years PM experience with platform/infra products and strong technical fluency.

206k – 300k/yr
On-site6+ YOEProduct Management

About the role

What You'll Do

  • 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 what is actually blocking progress today.
  • Identify patterns and graduate capabilities. Watch what FD teams are building across the application layer, determine what is genuinely repeating, and make the call on what moves to core — and when.
  • Hold the quality bar. Every capability on the platform roadmap earns its place twice: once by being necessary, and again by being done well enough that customers trust it without thinking about it.
  • Unlock delivery team time to value. Forward deployed delivery teams should spend their time solving the hardest customer problems, not rebuilding plumbing on every engagement.
  • Partner across the organization. Work closely with platform engineering, forward deployed PMs, and BU leads to surface signal, resolve sequencing tradeoffs, and keep the roadmap grounded in what is actually blocking work.

Must-Have 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 — not features on top of a platform someone else built.
  • Strong sequencing judgment: can prioritize across competing customer commitments and team velocity needs with incomplete information, without thrashing.
  • Technical fluency sufficient to hold real conversations with platform engineers about architectural tradeoffs across infra, auth, observability, deployment, and agent runtime.
  • Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority.
  • Clear, precise communication: adjusts for audience (platform engineer vs. FD PM vs. executive).

Core Competencies

  • Platform foundation ownership: has defined what a platform capability needs to be before it can be used reliably in production.
  • Sequencing and prioritization judgment: sequences work against real customer commitments and FD team velocity needs.
  • Pattern recognition: identifies when field-built work has genuinely repeated and is ready to graduate to core.
  • Quality discipline: every capability earns its place twice — by being necessary and by being done well enough that it is trusted without thinking about it.
  • Cross-functional influence: drives field teams and platform engineering toward shared outcomes through evidence and framing.
  • Operating in ambiguity: creates structure where there is none; makes sequencing calls with incomplete information.

Nice-to-Haves

  • Direct experience with AI/ML platform infrastructure — agent frameworks, eval pipelines, fine-tuning workflows, or observability for production AI systems.
  • Experience deploying into constrained environments: government, regulated industries, air-gapped or classified infrastructure.
  • Prior experience as a platform or infrastructure PM at a company where field-built patterns were a key signal source for the core product.

Compensation & Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. You'll receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Skills

Product ManagementPlatform InfrastructureDeveloper ToolsAi/Ml PlatformAgent FrameworksObservabilityInfrastructureAuthDeploymentTechnical Fluency
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