Manager, AI Success Strategist, Customer Success

Zendesk Zendesk · Enterprise · Singapore

This role focuses on customer success and strategic roadmap delivery for AI solutions within an enterprise context. The Manager, AI Success Strategist will own the end-to-end AI roadmap for key customers, translating product capabilities into business strategies, defining long-term AI vision, and driving adoption and operational excellence. The role requires strong project management, product and technical knowledge, business acumen, and the ability to influence executive stakeholders. While the role involves advising on AI strategy and ensuring ethical practices, it is primarily focused on customer adoption and business impact of existing AI products, rather than core AI/ML development or research.

What you'd actually do

  1. Lead the design, planning, and execution of comprehensive AI adoption and expansion roadmaps for key customers, ensuring alignment to their broader business goals and customer success vision.
  2. Serve as the design authority for customers’ AI deployments — lead solution design reviews, ensure deployments align with the latest best practices and collaborate with Professional Services on integration and configuration guidance.
  3. Partner with executive stakeholders to co-create and refine a forward-looking AI strategy that anticipates market trends and customer needs.
  4. Dedicate effort to internal cross-functional collaboration, aligning Product, Professional Services, Sales, Success, and other teams to deliver on the AI roadmap.
  5. Confidently advise customers on ethical AI practices, data governance, and compliance considerations — framing use cases within safe, explainable, and policy‑aligned guardrails.

Skills

Required

  • Proven ability to orchestrate multi-phase technology adoption projects, managing diverse teams and timelines with clarity and agility.
  • Product expert who assesses customers' use case automation potential and technical readiness (generative AI, integrations, authentication), helps craft user journeys and translates features into value.
  • Demonstrated skill in aligning AI solutions to customer business challenges, driving revenue growth, and influencing executive decision-making.
  • Strong stakeholder engagement skills—whether customer executives or internal teams—to advance AI adoption and sustain strategic partnerships.
  • Strong analytical capacity to interpret adoption data, develop predictive health scores, forecast retention/expansion, and translate metrics into prioritized action plans.
  • Visionary in embracing AI’s potential with a grounded, realistic approach to execution—balancing innovation with practical delivery feasibility.
  • Minimum of 12+ years of related experience in Customer Success / Experience, 3+ years of AI related experience
  • Previous experience in go-to-customer/GTM roles in enterprise technology / SaaS — either customer success management, professional services/consulting, technical account management, or solutions engineering/pre-sales consulting
  • Demonstrated experience in using adoption and health analytics to forecast churn and expansion; surface early risk signals and recommended mitigation

Nice to have

  • Liaise with ProdDev teams to remove blockers for adoption, implement fixes and provide feedback on (beta) features.

What the JD emphasized

  • minimum of 12+ years of related experience in Customer Success / Experience, 3+ years of AI related experience