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Sr. Product Manager, AI

Bell
Mississauga, CAN
Full Time
Senior
Hybrid
2 weeks ago
Product ManagementAI/MLAutomationPipeline ManagementCross functional CollaborationBusiness Value Assessment
Free

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Product ManagementAI/MLAutomation
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Summary

  • The Technology Services Applied AI team is a forward deployed engineering team that embeds across Bell to build, ship, and integrate AI agents and automation into existing enterprise systems.

Key Responsibilities

  • Source, qualify, and prioritize opportunities with business and transformation partners, owning the intake funnel.
  • Decide, with the Lead, which engagements the team takes on and when.
  • Coordinate delivery across multiple concurrent engagements, keeping them moving, sequenced, and unblocked.
  • Drive reuse of solutions and components across engagements.
  • Define target outcomes for each engagement and track whether they are delivered.

Critical Qualifications

  • 5+ years in product management, including 2+ on AI/ML or data products.
  • Track record sourcing, qualifying, and prioritizing a pipeline of opportunities with business stakeholders.
  • Sound judgment for sizing business value and prioritizing the pipeline.
  • Experience coordinating delivery across multiple concurrent initiatives.
  • Strong cross functional stakeholder skills across business and technology partners.
  • A strong grasp of the AI product landscape and what is becoming newly possible.

Preferred Qualifications

  • Experience in enterprise transformation, automation, or cost reduction programs.
  • Background defining and tracking value/ROI for technical initiatives.
  • Familiarity with change management and adoption practices.
  • Experience working with embedded or forward deployed engineering teams.
  • A technical background, or hands on experience with AI tools.

Additional Information

  • Position Type: Management
  • Job Status: Regular Full Time
  • Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Toronto || Canada : Quebec : Montreal
  • Work Arrangement: Hybrid
  • Application Deadline: 07/17/2026

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