Agentic Workforce Adoption Manager
Quick Summary
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Agentic Workforce Adoption Manager based in Canada.
This role focuses on helping customers adopt AI-powered capabilities and turn them into measurable business outcomes.
You’ll guide organizations through the transition from manually managing workflows to using AI agents to execute work more autonomously.
Working within a Customer Success organization, you’ll partner with Customer Success, Product, Sales, and Delivery teams to identify high-value adoption opportunities.
You’ll engage directly with customers through discovery sessions, workshops, webinars, and value realization reviews.
A key part of the role is translating sophisticated AI functionality into practical use cases tied to efficiency, ROI, and operational impact.
You’ll also help develop repeatable adoption frameworks, playbooks, and enablement resources that can scale across the customer base.
This is a remote opportunity for a customer-focused professional who enjoys influencing behavior, removing adoption barriers, and operating in a fast-paced SaaS environment.
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Lead the adoption of AI agent-based workflows across assigned customer accounts, helping customers transition from manual platform usage to more autonomous execution.
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Accelerate time-to-first-agent and time-to-value by identifying opportunities, guiding implementation, and ensuring customers achieve early and sustained outcomes.
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Help customers integrate, onboard, train, and operationalize AI agents within their existing business processes and workflows.
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Lead structured customer engagements, including discovery sessions, adoption workshops, enablement sessions, webinars, and value realization reviews.
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Partner with Customer Success Managers to identify, prioritize, and capture high-impact AI adoption opportunities.
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Collaborate with Product teams to communicate customer feedback, adoption challenges, unmet needs, and opportunities for product improvements.
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Support Sales and Customer Success teams with positioning strategies, messaging, and playbooks that connect AI adoption with customer growth opportunities.
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Translate AI capabilities and technical functionality into clear, outcome-focused use cases connected to customer objectives such as ROI, productivity, efficiency, and business impact.
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Develop and refine repeatable adoption frameworks, enablement materials, best practices, and customer-facing resources.
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Identify operational and technical barriers to adoption and work with cross-functional teams to remove friction and improve the customer experience.
Requirements
~1 min read-
4–6+ years of experience in Customer Success, Professional Services, Consulting, or another customer-facing SaaS environment.
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Proven experience working directly with B2B SaaS customers in post-sale environments.
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Demonstrated success driving software adoption and influencing behavioral or operational change among users.
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Exceptional communication, presentation, facilitation, and customer enablement skills.
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Strong ability to translate complex technology into practical business value and compelling customer use cases.
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Experience collaborating effectively with Product, Sales, Customer Success, Delivery, and other cross-functional teams.
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Ability to operate with autonomy, adaptability, and strong organizational skills in a fast-paced and evolving environment.
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Bachelor’s degree or equivalent practical experience.
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Hands-on experience with AI-driven solutions or advanced SaaS technologies is preferred.
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Experience supporting enterprise, multi-location, or franchise-based customers is an advantage.
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Experience leading structured customer workshops, enablement sessions, strategic reviews, or value realization programs is preferred.
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Solid understanding of SaaS customer lifecycles, adoption drivers, and value realization frameworks.
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Familiarity with MarTech, local marketing platforms, or enterprise software ecosystems is an advantage.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- October 2, 2026
- First seen
- October 2, 2026
- Last seen
- October 8, 2026
Posting Health
- Days active
- 4
- Repost count
- 0
- Trust Level
- 80%
- Scored at
- October 7, 2026
Signal breakdown
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