Technical Product Manager II
Role Overview
The Technical Product Manager II will work on an AI team within Technology Services, developing solutions for business challenges across areas including anti-fraud initiatives and retail operations.
The role works with operational stakeholders and supporting delivery teams to define, launch, and grow AI-powered products.
Key Skills for This Role
Full Job Posting
Role overview
The Technical Product Manager II will work on an AI team within Technology Services, developing solutions for business challenges across areas including anti-fraud initiatives and retail operations.
The role works with operational stakeholders and supporting delivery teams to define, launch, and grow AI-powered products.
Product ownership and delivery
- Identify, prioritize, and size opportunities, then select an appropriate technical approach such as machine learning, agentic AI, business rules, or a combination.
- Engage relevant teams, define timelines, and ensure products launch on time, at high quality, and with appropriate governance.
- Plan and launch new AI products, expand product reach, build roadmaps, and determine when products should be sunset.
- Plan and execute long-term product vision.
Communication and relationships
- Maintain communication with stakeholders and delivery teams about changing market conditions and business needs.
- Keep stakeholders informed about model or app development and engage delivery teams to support on-time delivery.
- Evaluate and implement stakeholder feedback during pilots and after product launch as appropriate.
- Showcase products to executives regularly.
Critical qualifications
- At least 2 years of product management experience in AI, technology, or a relevant field, with a track record of product solutioning and delivery.
- Ability to communicate technical concepts to non-technical audiences, including executive leadership.
- Proactive understanding of evolving business conditions and opportunities to apply AI, with effective communication to stakeholders and delivery teams.
- Strong organization skills and ability to clarify ambiguous business needs.
- Experience working in Agile environments with data scientists, software developers, or adjacent professionals.
Preferred qualifications
- Experience with A/B testing, data analysis, and dashboarding.
- Experience with machine learning or large language models in a product or developer capacity.
- Familiarity with Google Cloud Platform.
Work arrangement
- Hybrid arrangement; successful candidates must be based in Canada and report to a Bell office at least 3 days per week.
- Work hours may be flexible based on business needs.
Compensation and benefits
- The role offers a competitive salary and a benefits package, including medical, dental, vision, and mental health benefits, plus a discount on Bell services.
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