Zendesk

Zendesk

AI Success Strategist

Austin, Texas, United States of America · Senior

Sponsorship not specified$118k-$178kDetected 1 day ago
GoLLMsProject ManagementAccount ManagementCustomer SuccessZendeskCommunicationCollaboration

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 11 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Zendesk, Inc. obtained a prevailing wage determination for Software Developers in San Francisco, CALIFORNIA on 2026-06-16. No matching green-card filing appears in our data yet. The determination expires in 8 days (2026-09-13), and a green-card filing must follow before then or the employer starts over.+1 more active determination on file

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Accelerate customers' time‑to‑value by driving adoption and operational excellence for Zendesk AI solutions, ensuring customers realize measurable business impact from initial deployment through scale
  • 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.

Responsibilities

  • Internal and External Stakeholder Alignment: Dedicate effort to internal cross-functional collaboration, aligning Product, Professional Services, Sales, Success, and other teams to deliver on the AI roadmap.
  • Serve as the Engagement Lead: Coordinate and sequence activities, identify and escalate risks early, and ensure the right technical, product, and services resources are engaged at the appropriate times.
  • Sustain Engagement & Mutual AI Roadmap: Maintain recurring outcome-driven cadences and mutual AI Roadmap that define strategic goals, shared initiatives, measurable success, and a roadmap to maximize value and secure renewal.
  • Channel & Adoption Strategy: Own the channel strategy for AI solution dissemination and adoption, balancing direct customer delivery with channel enablement and partner engagement.
  • Measure and Drive Impact: Utilize data-driven insights to track AI adoption, resolution metrics, and gross revenue retention improvements. Continuously refine strategies to optimize outcomes and customer satisfaction.
  • Liaise with ProdDev teams to remove blockers for adoption, implement fixes and provide feedback on (beta) features.

Requirements

  • Must have a minimum of 5+ years of related experience in Customer Success / Experience, 1+ years of AI related experience
  • Experience managing AI or software adoption programs with demonstrated impact on business metrics such as retention or satisfaction.
  • Ability to distill complex AI concepts for diverse audiences, especially executive stakeholders.
  • AI Domain Expertise: Deep understanding of AI capabilities within Zendesk's platform, not necessarily hands-on technical, but sufficient to translate product features into business value and strategic initiatives.
  • 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.
  • Demonstrated experience designing and executing success plans or roadmaps that drive measurable customer outcomes
  • Great to have

Nice to have

  • Bachelor's degree in Business, Computer Science, Engineering, or related field
  • advanced degrees
  • certifications in AI strategy or project management preferred.
  • Familiarity with emerging AI trends is a plus

Skills

  • Excellent program management and cross-functional influence skills.

Compensation

  • Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

Benefits

  • Long-term AI Vision & Business Strategy: Partner with executive stakeholders to co-create and refine a forward-looking AI strategy that anticipates market trends and customer needs.

Company info

  • This role must attend our local office for part of the week.
  • We are an AA/EEO/Veterans/Disabled employer.
  • Design Authority: 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.
  • Responsible AI & Compliance: Confidently advise customers on ethical AI practices, data governance, and compliance considerations - framing use cases within safe, explainable, and policy‑aligned guardrails.
  • Product and Technical Knowledge: 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.
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This listing is sourced directly from Zendesk's careers page and normalized into a canonical job model.