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Forward Deployed Product Manager, Enterprise

Scale AI· Enterprise Product
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New York, NY$240k - $300kFull-timePosted 7mo ago

About the role

Role focused on owning product outcomes for enterprise deployments, embedded with customers to drive production-ready AI/ML deployments, translating customer reality into input for Scale's platform, and surfacing signals to leadership.

Responsibilities

  • Own product outcomes for our highest impact enterprise accounts. You are the accountable PM for product delivery and customer value.
  • Build trusted advisory relationships with VP/C-level buyers and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally.
  • Drive deployments from contract to production. You have done this before for large organizations. You know what 'production-ready' actually means and you close the gap.
  • Translate real customer workflows, friction, and priorities into high-signal product input for core platform teams. Not requirements docs — specific, evidence-backed product perspective with tradeoffs articulated.
  • Distinguish where the product is the constraint from where execution, integration, or change management is. Drive each type of blocker to resolution through the right channel.
  • Partner closely with FDEs so the account runs as a coordinated team, not a set of parallel workstreams.
  • Identify and develop expansion opportunities grounded in demonstrated customer value
  • Represent customer reality to platform and leadership with enough credibility that it changes decisions.

Qualifications

  • 6+ years in product management, technical program management, or a customer-facing product ownership role.
  • Demonstrated record of shipping products or platform capabilities into large organizations — not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked like.
  • Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitments.
  • Comfortable operating with senior customer stakeholders (VP/C-level) and senior engineers simultaneously; credible presence in high-stakes rooms on both sides.
  • Strong judgment under pressure: makes good calls quickly with incomplete information, knows when to escalate vs. resolve, does not generate thrash.
  • Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs — not deep coding, but genuine comprehension of how systems work in production.

Skills

Required:Enterprise deployment ownershipProduct judgment in the fieldCustomer trust-buildingTechnical translationOperating in ambiguityCommunication

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend (possible)
Last updated Sep 9, 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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