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

Accountabilities:

• • Own client engagements end-to-end, serving as the primary product voice from discovery and scoping through delivery, adoption, and measurable outcomes.
  • Scope and lead greenfield product initiatives, transforming early-stage ideas into sequenced, prioritized, and shippable roadmaps using AI-native approaches.
  • Lead legacy platform modernization engagements, balancing technical debt, business continuity, delivery speed, and long-term platform strategy.
  • Develop AI-native enablement programs, helping client product and engineering teams build the capabilities required to develop and ship AI-powered solutions independently.
  • Translate ambiguous business needs into actionable product plans, including PRDs, success criteria, priorities, delivery sequences, and clear requirements for engineering teams.
  • Partner closely with AI and agentic engineering teams, assessing when an agentic approach is appropriate versus deterministic workflows and helping define practical technical direction.
  • Establish guardrails and evaluation criteria for AI agents before deployment into production environments or access to customer data.
  • Manage multiple concurrent client engagements, balancing competing priorities, budgets, timelines, scope, and expected business outcomes.
  • Lead client-facing meetings, including steering committees, sprint reviews, strategic discussions, and conversations involving changes to scope, feasibility, or timelines.
  • Measure and communicate business outcomes, defining ROI and success metrics while ensuring teams remain accountable for meaningful results rather than output alone.
  • Contribute to internal product and delivery practices, developing reusable approaches and playbooks for AI-native builds, platform modernization, and client enablement.

  Requirements:

  • 5+ years of product management experience, with demonstrated ownership of product scope, roadmaps, priorities, and delivery outcomes.
  • Agency, consulting, or professional services experience, including managing multiple clients or accounts and navigating expectations, scope, budgets, and competing priorities.
  • Experience across at least two of the following engagement types: zero-to-one product development, legacy platform rebuild or migration, and client-facing enablement or training.
  • Hands-on experience with AI agents or agentic workflows, including having scoped, built, or shipped AI-powered products beyond basic chatbot or prompting use cases.
  • Strong understanding of the tradeoffs between agentic and deterministic approaches, with the ability to contribute meaningfully to product and technical decisions.
  • Comfortable collaborating directly with AI/agentic engineers, including discussions around architecture, evaluation frameworks, observability, and guardrails.
  • Strong client-facing communication and presentation skills, with the ability to engage and influence VP-level stakeholders, manage pushback, and make difficult scope decisions.
  • Excellent scoping, prioritization, and problem-solving skills, with the ability to turn vague requirements into clear plans and defend product tradeoffs.
  • Strong teaching and enablement capabilities, with the ability to explain AI and agentic concepts to both technical and non-technical audiences.
  • Comfortable operating in ambiguous, fast-moving environments, taking initiative without waiting for fully defined specifications.
  • Nice-to-have experience with LLM evaluation frameworks, agent observability tools, technical engineering/data/QA backgrounds, regulated industries, technical training, workshops, or public speaking and writing on product or AI topics.

  Benefits:

  • Opportunity to work on AI-native digital products and transformative enterprise engagements.
  • Exposure to diverse client challenges spanning AI agents, greenfield products, and legacy platform modernization.
  • High degree of ownership, empowerment, and influence over product strategy and delivery.
  • Collaborative environment that values innovation, transparency, meritocracy, and continuous learning.
  • Opportunity to work closely with experienced product, engineering, and technology professionals.
  • Ability to help shape internal methodologies and best practices for AI-first product delivery.
  • Inclusive workplace committed to equal employment opportunity and diversity.
  • Workplace accommodations available to support candidates and employees with accessibility needs.
  • NYC-based client engagement with an in-person work requirement, as specified for the role.