AI Product Manager - Agency Exp Required (NYC-based)

Added
7 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

node.js react android react native ai
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๐Ÿ“‹ Description

  • Own client engagements end-to-end โ€” from discovery to delivery, as the primary product voice with
  • Scope and run greenfield product builds, taking zero-to-one ideas to sequenced, shippable roadmaps.
  • Lead platform rebuilds and modernization engagements without stalling business operations.
  • Design and deliver AI-native enablement with client product and engineering teams.
  • Translate ambiguous client asks into scoped work, write PRDs, and sequence delivery.
  • Partner directly with agentic engineers; set guardrails and evaluation criteria.

What You7ll Do

  • Own client engagements end-to-end โ€” from discovery and scoping through delivery, acting as the
  • Scope and run greenfield product builds โ€” take a zero-to-one idea and turn it into a sequenced
  • Lead platform rebuild and modernization engagements โ€” help clients replatform or rebuild legacy
  • Design and help deliver AI-native enablement โ€” work with clients' own product and engineering teams
  • Translate ambiguous client asks into scoped work โ€” write PRDs, define success criteria, and
  • Partner directly with agentic engineers โ€” understand the difference between a deterministic

What Were Looking For

  • 5+ years in product management, with real ownership of scope, roadmap, and delivery outcomes.
  • Agency or consulting experience โ€” worked across multiple clients or accounts, not just one internal
  • Range across engagement types โ€” zero-to-one greenfield, legacy platform rebuild/migration, and
  • Hands-on experience with AI agents โ€” scoped, built, or shipped agentic products or workflows.
  • Comfortable with client-facing leadership โ€” present to stakeholders, handle pushback, and say no
  • Teaching instinct and client enablement โ€” explain agentic concepts to non-technical stakeholders

Nice to Have

  • Experience with AI agent evaluation frameworks or observability tooling.
  • Background in a technical role (engineering, data, or QA) before moving into product.
  • Experience in regulated industries (finance, healthcare).
  • Experience delivering internal training or enablement programs for client teams.
  • Track record of public speaking or writing on product or AI topics.
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