Senior Product Manager
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Key skills for this role
About the Role
Varicent is seeking a Senior Product Manager to lead AI adoption and customer value for its SaaS sales performance management platform. You will drive end-to-end strategy for adoption, optimization, and scale of AI capabilities, working closely with customers and cross-functional teams.
Key Skills for This Role
Responsibilities
- Own the end to end strategy for adoption, optimization, value realization, and scale across Varicent's AI capabilities.
- Define how AI products move from early traction to repeatable customer adoption, retention, and scalable growth.
- Work directly with strategic customers to understand whether AI products are solving meaningful workflow pain points and delivering measurable value.
- Design and lead structured adoption programs that define customer goals, success criteria, feedback loops, adoption risks, rollout needs, and scale readiness requirements.
- Define what successful adoption looks like across AI products, including activation, engagement, usage quality, retention, workflow impact, and value realization.
- 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 and adoption insights to inform roadmap and prioritization.
- Partner with Engineering, Design, and Data Science to shape, scope, and deliver prioritized improvements to existing AI products.
- Work closely with Product Marketing and Go to Market teams to translate early customer wins into repeatable launch and adoption motions.
- Partner with Customer Success, Sales, and Support to understand customer readiness, rollout needs, enablement gaps, support trends, adoption blockers, and expansion opportunities.
Requirements
- 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.
- 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.
- Excellent written and verbal communication, storytelling, and stakeholder management skills.
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.
Key Responsibilities
- Own the end to end strategy for adoption, optimization, value realization, and scale across Varicent's 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.
- Work directly with strategic customers to understand whether AI products are solving meaningful workflow pain points and delivering measurable value.
- Design and lead structured adoption programs that define customer goals, success criteria, feedback loops, adoption risks, rollout needs, and scale readiness requirements.
- Define what successful adoption looks like across AI products, including activation, engagement, usage quality, retention, workflow impact, and value realization.
- 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 and adoption 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.
- Work closely with Engineering, Design, and Data Science to shape, scope, and deliver prioritized improvements to existing AI products.
- Work closely with Product Marketing and Go to Market teams to translate early customer wins into repeatable launch and adoption motions.
- Partner with Customer Success, Sales, and Support to understand customer readiness, rollout needs, enablement gaps, support trends, adoption blockers, and expansion opportunities.
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.
Salary
- The expected base salary range for this role is CDN 125,000.00$ CAD 164,200.00, and individuals may be eligible to participate in our variable compensation program.
Additional Information
- Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer.
- This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment.
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