Sr. Specialized Customer Success Manager, Talent Ai
Workday
Atlanta, GA, USA
Primary location base pyy range: $113,800 usd - $1...
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Customer success framework
Ai in talent acquisition
Strategic customer engagements
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Workday is seeking a Senior Specialized Customer Success Manager for its Talent AI division, aimed at fostering customer success with AI-powered Talent Acquisition workflows. The role emphasizes collaboration, deep understanding of AI in Talent Acquisition, and strategic customer engagement to drive adoption and value realization.
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Job Summary
Serve as a strategic partner to customers, guiding them through organizational change, workflow redesign, and operating model shifts required to unlock the full value of AI in Talent Acquisition.
Lead proactive, planned customer engagements (e.g., onboarding, value realization, optimization, and expansion workshops) that accelerate adoption and maturity.
Contribute to continuous improvement of our Customer Success framework by sharing learnings, refining playbooks, and helping to standardize motions that can scale without increasing cost to serve.
Matching Summary
Match Score: 75
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Workday is seeking a Senior Specialized Customer Success Manager for its Talent AI division, aimed at fostering customer success with AI-powered Talent Acquisition workflows. The role emphasizes collaboration, deep understanding of AI in Talent Acquisition, and strategic customer engagement to drive adoption and value realization.
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Salary
Primary Location Base Pay Range: $113,800 USD - $170,800 USD; Additional US Location(s) Base Pay Range: $108,200 USD - $192,200 USD; Bonus/Equity: Role may be eligible for Workday Bonus Plan or role-specific commission/bonus, as well as annual refresh stock grants
Skills & Requirements
Must-have
Customer Success framework
AI in Talent Acquisition
strategic customer engagements
customer advocacy opportunities
cross-functional collaboration
Nice-to-have
sun-drenched optimism and drive
courageous collaborators
curious minds
genuine care
bold ideas
Key Requirements
5+ years customer-facing services experience
2+ years AI/ML or data-driven products experience
2+ years Talent Acquisition or Human Resources experience