GTM Data & Automation Architect

Zendesk

Nevada (IA)

Hybrid

USD 94,000 - 140,000

Full time

7 days ago
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Job summary

Zendesk is evolving toward an AI-first GTM operating model, where connected data, automation, and AI-driven workflows improve how teams execute across the customer lifecycle. We are seeking a hands-on operator to help build, manage, and scale the GTM data and automation infrastructure that powers frontline execution.

The ideal candidate combines strong operational execution with systems thinking and technical curiosity.

Responsibilities

  • Own the end-to-end GTM contact data lifecycle, including acquisition, enrichment, validation, deduplication, and governance.
  • Ensure contact data is accurate, compliant, and action-ready to support frontline sales execution and core GTM motions.
  • Define and enforce global data quality standards, SLAs, and controls as data volume, system complexity, and use cases scale.
  • Design, build, and continuously optimize contact data pipelines and automation workflows that power sales plays and GTM execution.
  • Partner with senior leadership to rapidly prototype, test, and scale AI-forward GTM use cases without compromising core system stability.
  • Translate sales plays and GTM initiatives into production-ready automations, tooling configurations, and data flows that scale with GTM complexity.
  • Maintain clear documentation, monitoring, and execution standards to enable consistent delivery, faster onboarding, and smooth global scaling.
  • Lead measurement and reporting for GTM data health, enrichment performance, and automation impact, proactively identifying risks, inefficiencies, and investment opportunities

Job description

Zendesk is evolving toward an AI-first GTM operating model, where connected data, automation, and AI-driven workflows improve how teams execute across the customer lifecycle. We are seeking a hands-on operator to help build, manage, and scale the GTM data and automation infrastructure that powers frontline execution.

The ideal candidate combines strong operational execution with systems thinking and technical curiosity.

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