Customer experience is transforming through AI-driven innovation. At Zendesk we dont just embrace this change we lead it. As the Manager AI Success Strategists will scale our AI-driven Resolution Platform by building and leading a team of strategists who deliver predictable measurable AI outcomes for customers. This role blends deep product expertise with people leadership: youll be both the product authority for your team and the coach who develops their skills to deliver at scale.
You will manage and grow a high-performing team (610 direct reports) that owns endtoend delivery of customers AI roadmaps. Youll translate product capabilities into clear business strategies ensure consistent execution across customers and maintain recurring outcome-driven cadences that secure retention and expansion. Success is measured by customer satisfaction adoption of automated resolutions retention improvements and a team that reliably forecasts and mitigates risk.
Own and scale a 610 person AI Success Strategist team to deliver predictable measurable customer AI outcomes e.g. drive doubledigit increases in automated resolution adoption shorten timetovalue for deployments and materially improve account retention and expansion metrics (GRR/NRR)
Operationalize repeatable playbooks SLAs and accountlevel forecasting so the team detects and mitigates risk earlier improves forecast accuracy and reduces atrisk accounts turning reactive firefights into steady measurable adoption curves
Hire coach and develop individual contributors to raise team delivery velocity and quality: establish clear career paths lift performance metrics and ensure consistent outcomefocused executive engagement that converts strategic customers into referenceable success stories
Own accountlevel delivery adoption and forecast accuracy for a defined portfolio; responsible for X% lift in automation adoption Y% reduction in timetovalue and Z decrease in atrisk accounts year over year
Org leadership & people strategy: Own hiring onboarding and daytoday development for your AI Success team (610). Coach ICs run performance cycles create clear career paths and track team health and retention metrics.
Strategic product partnership & roadmap influence: Be the product expert for your teamtranslate portfolio signals from your accounts into clear product feedback and prioritized tasks. Work closely with Product on pilot execution and beta validation to derisk customer deployments.
Operational ownership & crossfunctional coordination: Run repeatable playbooks KPIs and delivery SLAs for your team. Coordinate handoffs with Sales Professional Services Product Partners and RevOps to remove blockers and enable rapid contextswitching across accounts.
Executive engagement & external relationships: Own executive relationships at the account level and personally lead Clevel briefings for strategic customers. Coach your team to prepare and run scalable outcomefocused executive interactions.
Portfoliolevel risk forecasting & business insight: Maintain predictive health scores and accountlevel forecasts for your portfolio. Identify trends and early risks surface prescriptive mitigations to stakeholders and improve forecast accuracy and timetodetection for atrisk accounts.
Commercial outcomes & growth: Drive adoption and expansion plays within your portfolioown account targets for adoption retention and expansion velocity. Collaborate with Sales and Finance on renewal strategy and tactical expansion motions.
Responsible AI governance & policy guidance: Advise customers on practical engagementlevel AI guardrails (explainability data handling compliance). Escalate complex governance issues to Product/Legal/Security and ensure your team is trained on responsibleAI best practices.
Product partnership track record: Proven ability to translate account signals into validated product asks and run pilots/betas; escalate strategic asks to Director. Translate account signals into validated product asks and run pilots/betas; escalate strategic asks to Director
Product & technical fluency: Deep familiarity with generative AI integrations and authenticationable to map features to customer journeys and unblock adoption with ProdDev/Engineering.
Forecasting & risk management outcomes: Built and operated accountlevel predictive health scores and adoption forecasts that improved forecast accuracy and enabled early mitigations.
Operational delivery: Defined and ran team playbooks KPIs and SLAs; owned tooling or dashboards that provide a single source of truth for adoption and risk.
Executive presence: Comfortable briefing customer executives (up to VP/CxO) and presenting accountlevel trends and forecasts to internal stakeholders with clear concise materials.
Commercial impact: Track record owning team targets for adoption retention and expansionwith measurable improvements in GRR/NRR automation adoption or expansion outcomes.
People leadership: Proven experience managing coaching and developing individual contributors (610) including hiring performance cycles and career development.
Change & strategic judgment: Demonstrated ability to convert account insights into prioritized product tasks or tactical GTM adjustments and to drive followthrough.
Mindset: Entrepreneurial ownership bias for action and comfort operating with ambiguity while enforcing disciplined measurement and accountability.
7 years in Customer Success / Professional Services / Technical Account Management / Solutions Consulting in enterprise SaaS; 2 years in AI-related roles or working on AI product adoption.
2 years of people management experience leading customer-facing teams (610 direct reports).
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 mitigations to secure retention and growth.
Bachelors degree in Business Computer Science Engineering or related field; advanced degrees; certifications in AI strategy or project management preferred.
Demonstrated product expertise: ability to translate generative AI features integrations and technical requirements into business outcomes.
Proven cross-functional influence with Product and Engineering; experience surfacing product feedback and driving prioritization.
Track record of building predictive adoption models using analytics to forecast churn/expansion and operationalizing mitigations.
Excellent communication skills; ability to distill complex AI concepts for executives and technical teams.
Hybrid: In this role our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection collaboration learning and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
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Required Experience:
Manager