{bc}
Apply
indeed

Senior Product Manager - AI

Varicent
Toronto, CAN
Senior
6 days ago
Product ManagementAI Adoption StrategyCustomer Value RealizationData Driven Decision MakingStakeholder ManagementCommunication
Free

Job Fit Check

Base Career helps you apply smarter for this job.

?%
Ready to Scan

Key skills for this role

Product ManagementAI Adoption StrategyCustomer Value Realization
Smart Apply

Full Job Posting

Role Overview

  • As a Senior Product Manager, AI Adoption & Customer Value, you will lead the 1 to n growth, adoption, optimization, and ongoing success of Varicent's AI portfolio.
  • This is a senior individual contributor role responsible for ensuring Varicent's AI capabilities are not only launched, but trusted, adopted, and delivering measurable customer and business value.
  • You will work closely with customers and internal teams to turn early product traction into repeatable adoption across Varicent's enterprise customer base.

Key Responsibilities

  • Own the AI Adoption & Customer Value Strategy: Own the end to end strategy for adoption, optimization, value realization, and scale across Varicent's existing and recently launched AI capabilities.
  • Define how AI products move from early traction to repeatable customer adoption, retention, and scalable growth.
  • Prioritize adoption efforts based on customer value, business impact, usage signals, customer readiness, implementation complexity, and strategic importance.
  • Lead Strategic Customer Adoption Programs: Work directly with strategic customers to understand whether AI products are solving meaningful workflow pain points.
  • Design and lead structured adoption programs that define customer goals, success criteria, feedback loops, adoption risks, rollout needs, and scale readiness requirements.
  • Define Adoption, Product Health & Value Realization Metrics: Define what successful adoption looks like across AI products.
  • Partner with Product Operations, Data Science, Engineering, Customer Success, and Go to Market teams to establish dashboards, reporting, feedback loops, and product health measures.
  • Synthesize Customer Feedback & Adoption Insights: Build strong customer relationships to deeply understand user needs, pain points, readiness, and adoption barriers.
  • Represent the voice of the customer in roadmap discussions and prioritization.
  • Use product analytics, customer feedback, usage patterns, support trends, and Go to Market insights to identify opportunities to improve product value, usability, trust, and adoption.
  • Partner with the AI Strategy Product Manager to ensure new AI capabilities are designed with customer adoption, enablement, feedback loops, and value realization in mind.
  • Partner with Engineering, Design & Data Science to shape, scope, and deliver prioritized improvements to existing AI products.

Knowledge, Skills & Experience

  • 8–10+ years of professional experience, including 6+ years in Product Management, preferably in B2B SaaS, enterprise software, AI, automation, or data driven products.
  • Bachelor's degree in Business, Computer Science, Engineering, or a related field required.
  • Proven experience as a senior individual contributor owning product strategy, execution, adoption, optimization, launch readiness, or value realization for complex product areas.
  • Strong familiarity with emerging AI concepts such as GenAI, autonomous agents, MCPs, agent orchestration, AI evaluations, enterprise AI governance, trust, explainability, and responsible AI practices.
  • Experience managing products post launch, including adoption, optimization, product health measurement, customer feedback, iterative improvement, and scale.
  • Experience working directly with enterprise customers to synthesize customer feedback into clear product recommendations and roadmap priorities.
  • Skilled at using data driven decision making, experimentation, customer insight, and prioritization frameworks such as RICE, ROI, and Value vs. Effort.
  • Proven ability to partner cross functionally with Engineering, Design, Data Science, Product Operations, Product Marketing, Customer Success, Sales, Support, and Go to Market teams.
  • Experience running early access, beta, design partner, pilot, or strategic customer adoption programs preferred.
  • Deep understanding of Agile methodologies and product development tools such as JIRA, Confluence, Figma, Productboard, analytics platforms, or similar tools.
  • Excellent written and verbal communication, storytelling, and stakeholder management skills.

Success Criteria

  • In the Short Term (1–3 Months): Develop deep understanding of Varicent's products, customer workflows, AI strategy, SaaS platform, and key business metrics.
  • Build strong relationships with Product, Engineering, Design, Product Operations, Product Marketing, Go to Market, Customer Success, Sales, Support, and leadership stakeholders.
  • Understand the current AI roadmap, recently launched capabilities, active customer adoption efforts, early traction, usage patterns, customer commitments, and known adoption barriers.
  • Begin supporting or leading adoption efforts for already defined AI priorities.
  • Start identifying adoption risks, customer friction points, supportability concerns, and value realization opportunities.
  • In the Medium Term (4–6 Months): Own and communicate a clear AI adoption and customer value strategy across prioritized AI capabilities.
  • Lead strategic customer adoption programs, including early adopter identification, validation goals, feedback collection, adoption tracking, and value assessment.
  • Define adoption success criteria and product health metrics.
  • Partner with the AI Strategy Product Manager to ensure new AI capabilities are designed with customer adoption in mind.
  • Partner with Engineering and Design to shape and deliver prioritized improvements that increase usability, trust, workflow fit, product quality, and adoption.
  • In the Long Term (7+ Months): Drive adoption, value realization, optimization, and scale for AI products, agents, and capabilities that deliver measurable customer and business impact.
  • Establish repeatable frameworks for AI customer validation, adoption planning, launch readiness, product health measurement, feedback loops, and value realization.

Compensation

  • The expected base salary range for this role is CAD 125,000.00 164,200.00.
  • Individuals may be eligible to participate in variable compensation program.
  • Final compensation may vary based on experience, skills, designations, and market conditions.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Varicent

Senior Product Manager

Vancouver, CAN

2 days agoFull Time

Senior Product Manager

Toronto, CAN

2 days agoFull Time

Senior Product Manager

Toronto, CAN

3 days agoFull Time

Senior Product Manager - AI

Toronto, CAN

1 weeks agoFull Time