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Varicent
Senior Product Manager AIVaricent • Vancouver, British Columbia, Canada
Senior Product Manager AI

Senior Product Manager AI

Varicent • Vancouver, British Columbia, Canada
27 days ago
Salary
CA$121.00 daily
Job type
  • Full-time
Job description

At Varicent were not just transforming the Sales Performance Management (SPM) marketwere redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies maximize seller performance and unlock untapped potential. Varicent stands at the forefront of innovation celebrated as a market leader in the2025 Forrester Wave Report for SPM2023 Ventana Research Revenue Performance Management (RPM) Value IndexGartner Peer Insights2024 Gartner SPM Market Guide andG2.Our solutions are trusted by a diverse range of global industry leaders like T-Mobile ServiceNow Wawanesa Bank Shaw Industries Moodys Stryker and hundreds more. Heres why youll thrive at Varicent:
  • Innovate with Purpose: Build impactful solutions for customers worldwide.
  • Join Excellence: Work in a diverse collaborative and innovative team.
  • Shape the Future: Lead in redefining revenue optimization.
  • Grow Together: Unlock your potential in a supportive environment.
Join us at Varicentwhere your talent and ambition meet limitless opportunities for success!

About Varicent

We are entering an exciting stage of growth as we expand our AI product team backed by strong executive support and a clear AI vision. Our focus is on building practical high-value AI capabilities that help customers reduce manual work uncover insights faster and improve operational decision-making.

Our AI product team works on meaningful problems in a complex high-impact domain helping shape the next generation of AI capabilities and autonomous agents for enterprise customers. We also work within a modern product development lifecycle where you will have access to modern AI tools that support product discovery research rapid prototyping analysis documentation and execution.

If you are excited by the opportunity to help shape AI products in a proven enterprise software company with real customer problems strong leadership commitment and the tools to move quickly Varicent is a great place to build.

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 Varicents AI portfolio.

This is a senior individual contributor role responsible for ensuring Varicents 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 Varicents enterprise customer base.

You will partner closely with Product Product Operations Engineering Design Product Marketing Go-to-Market Customer Success Sales Support and customers to validate adoption patterns identify friction prioritize improvements and scale successful AI capabilities.

This role is ideal for a product leader who is passionate about AI customer outcomes product adoption value realization and helping enterprise customers adopt new capabilities in practical measurable ways.

Key Responsibilities

Own the AI Adoption & Customer Value Strategy

  • Own the end-to-end strategy for adoption optimization value realization and scale across Varicents existing and recently launched AI capabilities agents and product experiences.

  • 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 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 Adoption Product Health & Value Realization Metrics

  • Define what successful adoption looks like across AI products alongside the AI Strategy Product Manager 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 that inform roadmap and adoption decisions.

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

  • Ensure new AI capabilities are designed with customer adoption enablement feedback loops and value realization in mind.

Partner with Engineering Design & Data Science

  • Work closely with Engineering Design and Data Science to shape scope and deliver prioritized improvements to existing AI products.

  • Provide product leadership on adoption-related improvements including usability explainability model behaviour workflow fit performance scalability security supportability and customer trust.

Enable Product Marketing & Go-to-Market Teams

  • Work closely with Product Marketing and Go-to-Market teams to translate early customer wins learnings and adoption patterns into repeatable launch and adoption motions.

  • Contribute to positioning messaging enablement materials demo guidance FAQs objection handling customer stories internal readiness and customer-facing assets.

Partner with Customer Success Sales & Support

  • Partner with Customer Success Sales and Support to understand customer readiness rollout needs enablement gaps support trends adoption blockers and expansion opportunities.

  • Ensure customer-facing teams are equipped to explain position deploy support and gather feedback on AI capabilities.

Drive Cross-Functional Alignment

  • Collaborate across Product Engineering Design Data Science Product Operations Product Marketing Go-to-Market Customer Success Sales Support and leadership.

  • Communicate adoption progress product performance customer learnings risks trade-offs and recommendations across the business.

  • Influence priorities and foster collaboration without direct authority.

Stay Ahead of Enterprise AI Trends

  • Contribute to and improve product management practices related to AI adoption customer validation launch readiness feedback loops product health value realization and post-launch optimization.

  • Build a strong product perspective on enterprise AI trends including GenAI autonomous agents AI governance explainability responsible AI and enterprise change management.

Knowledge Skills & Experience
  • 810 years of professional experience including 6 years in Product Management preferably in B2B SaaS enterprise software AI automation or data-driven products.

  • Bachelors 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 including the ability to influence senior stakeholders communicate complex ideas clearly and align executives engineers and customer-facing teams.

Success Criteria

In the Short Term (13 Months) You Will:

  • Develop a deep understanding of Varicents products customer workflows AI strategy SaaS platform product development lifecycle customer segments 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 including customer readiness rollout needs feedback loops success criteria and early product health measures.

  • Start identifying adoption risks customer friction points supportability concerns and value realization opportunities for current AI initiatives.

In the Medium Term (46 Months) You Will:

  • Own and communicate a clear AI adoption and customer value strategy across prioritized AI capabilities agents and product experiences.

  • 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 including activation usage engagement retention customer satisfaction trust value realization and workflow impact.

  • Partner with the AI Strategy Product Manager to ensure new AI capabilities are designed with customer adoption implementation enablement supportability and measurable value 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) You Will:

  • 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.

  • Influence AI product strategy by bringing forward insights from customer adoption product usage support trends market feedback customer readiness and value realization outcomes.

  • Partner with Product Marketing and Go-to-Market teams to ensure AI products are clearly positioned well enabled supported by the right assets and successfully introduced to customers and internal teams.

  • Serve as a trusted product leader and advisor helping teams understand where AI is delivering value where adoption is blocked and where product improvements are needed.

The expected base salary range for this role is CAD $121200 $159000. In addition to base salary successful candidates may be eligible to participate in Varicents variable compensation program.

Final compensation will be determined based on factors including experience skills qualifications and market conditions.

This posting is for an existing vacancy.

As part of our hiring process Varicent uses artificial intelligence (AI) tools to assist with candidate screening and assessment. These tools are designed to supportnot replacehuman decision-making throughout the recruitment process.

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status. If you require accommodation at any time during the recruitment process please email Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal you declare and confirm that you have read and agree to ourJob Applicant Privacy Noticeand that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact


Required Experience:

Senior IC


Employment Type : Full Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 164200 - 164200
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Senior Product Manager AI • Vancouver, British Columbia, Canada

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