Senior Product Manager - AI
New
CanadaFull-TimeSenior
SalaryCompetitive base salary range of CAD $125,000 – $164,200 annually. Eligibility to participate in a variable compensation program.
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Job Details
- Experience
- 8–10+ years of professional experience, including 6+ years in Product Management roles
- Required Skills
- AgileFigmaProduct ManagementJiraConfluenceGenerative AI
Requirements
- 8–10+ years of professional experience, including 6+ years in Product Management roles, ideally within B2B SaaS, enterprise software, AI, automation, or data-driven products.
- Bachelor’s degree in Business, Computer Science, Engineering, or a related discipline.
- Proven experience owning product strategy, execution, adoption, optimization, and value realization for complex products.
- Strong understanding of AI concepts such as generative AI, autonomous agents, AI evaluations, enterprise AI governance, explainability, and responsible AI practices.
- Experience managing products after launch, including adoption measurement, customer feedback analysis, iteration, and scaling.
- Demonstrated ability to work directly with enterprise customers and convert insights into actionable product decisions.
- Strong analytical and data-driven mindset, with experience using prioritization frameworks such as RICE, ROI analysis, or Value vs. Effort.
- Ability to collaborate effectively with Engineering, Design, Data Science, Product Operations, Marketing, Sales, Customer Success, and Support teams.
- Experience leading beta programs, early access initiatives, design partnerships, pilots, or strategic customer adoption programs is preferred.
- Familiarity with Agile methodologies and product tools such as Jira, Confluence, Figma, Productboard, analytics platforms, or similar solutions.
- Excellent communication, storytelling, and stakeholder management skills, with the ability to influence technical and executive audiences.
- Strong understanding of enterprise software development processes and customer-focused product practices.
Responsibilities
- Own the end-to-end AI adoption and customer value strategy, ensuring AI capabilities evolve from initial launch into scalable, repeatable customer solutions.
- Define adoption goals, success metrics, product health indicators, and value realization frameworks alongside product and business stakeholders.
- Partner directly with strategic customers to understand workflows, identify adoption barriers, validate solutions, and gather insights that influence product priorities.
- Represent customer needs in roadmap discussions by analyzing usage data, feedback, support trends, and market signals.
- Collaborate with Engineering, Design, and Data Science teams to improve AI product usability, trust, performance, scalability, security, and overall customer experience.
- Support AI product launches by creating adoption plans, enablement resources, messaging, FAQs, and internal readiness materials.
- Partner with Customer Success, Sales, and Support teams to improve customer onboarding, deployment, engagement, and long-term success.
- Drive cross-functional alignment by communicating product progress, risks, opportunities, and recommendations to stakeholders and leadership.
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