Senior Product Manager

FunnelCake

Toronto, CAN

Full Time

Senior

2 days ago

Product ManagementAI/MLGenAISaaSData Driven Decision MakingStakeholder Management

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Product ManagementAI/MLGenAI

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About the Role

Varicent seeks a Senior Product Manager to lead AI adoption and customer value for its SaaS SPM platform. You will drive 1-to-n growth of AI capabilities, define adoption metrics, and partner cross-functionally to ensure measurable customer outcomes.

Key Skills for This Role

Product ManagementAI/MLGenAISaaSData Driven Decision MakingStakeholder Management

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.
Define adoption success criteria and product health metrics, including activation, engagement, usage quality, retention, workflow impact, and value realization.
Synthesize customer feedback and adoption insights to inform roadmap and prioritization.
Partner with Engineering, Design, and Data Science to shape and deliver prioritized improvements to existing AI products.
Enable Product Marketing and Go to Market teams by translating early customer wins into repeatable launch and adoption motions.
Partner with Customer Success, Sales, and Support to understand customer readiness, rollout needs, and adoption blockers.
Drive cross functional alignment and communicate adoption progress, product performance, and customer learnings across the business.
Stay ahead of enterprise AI trends and contribute to improving product management practices related to AI adoption.

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.
You will partner closely with Product, Engineering, Design, Product Marketing, Go to Market, Customer Success, Sales, Support, and customers.

Key Responsibilities

Own the AI Adoption & Customer Value Strategy: end to end strategy for adoption, optimization, value realization, and scale across AI capabilities.
Lead Strategic Customer Adoption Programs: work directly with strategic customers to design structured adoption programs.
Define Adoption, Product Health & Value Realization Metrics: define activation, engagement, usage quality, retention, workflow impact, and value realization metrics.
Synthesize Customer Feedback & Adoption Insights: build strong customer relationships and represent the voice of the customer in roadmap discussions.
Partner with the AI Strategy Product Manager: ensure new AI capabilities are designed with adoption and value realization in mind.
Partner with Engineering, Design & Data Science: shape, scope, and deliver prioritized improvements to existing AI products.
Enable Product Marketing & Go to Market Teams: translate early customer wins into repeatable launch and adoption motions.
Partner with Customer Success, Sales & Support: understand customer readiness, rollout needs, enablement gaps, and adoption blockers.
Drive Cross Functional Alignment: collaborate across teams and communicate progress, risks, and recommendations.
Stay Ahead of Enterprise AI Trends: contribute to product management practices related to AI adoption and enterprise change management.

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.
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 feedback into product recommendations.
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.

Compensation

The expected base salary range for this role is C125,000.00 CAD 164,200.00 CAD.
Individuals may be eligible to participate in our variable compensation program.
Final compensation may vary based on experience, skills, designations, and market conditions.

Additional Information

This posting is for an existing vacancy.
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment.
Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer.
If you require accommodation at any time during the recruitment process please email accomodations@varicent.com.

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