AI Strategy & Adoption Leader

Zendesk

Rockford (IL)

Hybrid

USD 118,000 - 178,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
Equal opportunity employer
Accommodation for disabilities

Job summary

Zendesk is seeking an AI Success Strategist to own end-to-end delivery of customers’ AI roadmaps, translating product capabilities into clear business value and building executive partnerships from day one. You will align Product, Services, Sales, and Partners to scale AI programs, guiding adoption through expansion and renewal.

The role emphasizes long-term AI strategy, cross-functional collaboration, and data-driven outcomes, with a hybrid work model and a focus on enterprise customers in the

Qualifications

  • Minimum of 5+ years in Customer Success / Experience
  • 1+ years of AI-related experience
  • Go-to-customer / GTM experience in enterprise technology or SaaS
  • Bachelor’s degree in Business, Computer Science, Engineering, or related field
  • Experience designing and executing success plans or roadmaps
  • Excellent program management and cross-functional influence

Responsibilities

  • Own end-to-end delivery of customers’ AI roadmaps and translate product capabilities into business value.
  • Define long-term AI vision and align internal and external teams to execute from adoption to expansion.
  • Lead structured discovery and success-planning engagements with measurable milestones.

Skills

Customer success
AI strategy
Stakeholder management
Program management
Cross-functional leadership
Data analysis
Communication

Education

Bachelor’s degree in Business, CS, Engineering

Job description

Zendesk is seeking an AI Success Strategist to own end-to-end delivery of customers’ AI roadmaps, translating product capabilities into clear business value and building executive partnerships from day one. You will align Product, Services, Sales, and Partners to scale AI programs, guiding adoption through expansion and renewal.

The role emphasizes long-term AI strategy, cross-functional collaboration, and data-driven outcomes, with a hybrid work model and a focus on enterprise customers in the

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