AI Project Manager

AmpliworkMontreal, QC
Hybrid

About The Position

This role involves leading the end-to-end delivery of a complex AI product initiative, focusing on planning, execution, and stakeholder alignment. The position requires a strong ability to gather requirements, translate them into actionable plans, and drive execution by breaking down complex problems and unblocking teams. The role also involves client-facing leadership, product judgment for making tradeoffs, close collaboration with Engineering and Design, and the ability to quickly learn new domains, such as tax and regulatory concepts, without hindering execution.

Requirements

  • 4+ years experience in project management, or a hybrid role delivering software products.
  • Strong background in financial services, such as asset management, banking, insurance, or regulated enterprise workflows.
  • Proven ability to gather requirements and turn ambiguity into clear, actionable plans.
  • Track record of shipping complex products with multiple stakeholders.
  • Clear written and verbal communication. You can explain complex topics simply and precisely.
  • Comfort operating in fast-moving, imperfect environments.
  • A product portfolio demonstrating shipped products, delivery ownership, and decision-making. This can include PRDs, roadmaps, case studies, or similar artifacts.

Nice To Haves

  • Experience working on tax, compliance, or regulatory workflows.
  • Exposure to AI-powered products, automation, or document-heavy systems.
  • Experience working directly with enterprise clients.
  • Familiarity with agile delivery, lightweight roadmapping, and outcome-based planning.

Responsibilities

  • Lead delivery end to end: Own planning, execution, and tracking for a complex AI product initiative, keeping scope, timelines, and stakeholders aligned.
  • Requirements mastery: Run discovery with clients and internal teams, translate needs into clear PRDs, user stories, and acceptance criteria.
  • Drive execution, not just coordination: Break down complex problems, sequence work, unblock teams, and ensure momentum week over week.
  • Client-facing leadership: Run working sessions, status updates, and milestone reviews with enterprise financial services clients.
  • Product judgment: Make tradeoffs between speed, quality, and scope, with a strong bias toward shipping usable value.
  • Partner closely with Engineering and Design: Clarify intent, answer questions quickly, and keep delivery tight.
  • Learn new domains fast: Absorb tax and regulatory concepts as needed, without letting domain gaps slow execution.

Benefits

  • High ownership and visibility on a mission-critical product.
  • Direct exposure to real enterprise customers and production AI systems.
  • A team that values clarity, speed, and learning over process theater.
  • The chance to shape how AI agents are deployed in regulated financial services.
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