AI GTM Strategist — Demand & Growth Architect

HR Tech Job

Pleasanton (CA)

Hybrid

USD 158,000 - 238,000

Full time

4 days ago
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Job summary

Workday’s Global Customer Operations team seeks a strategic operator to map AI-driven demand-generation processes and translate business needs into high-level system requirements. This role partners with Sales, SDR, Product, and Marketing to align strategy with execution and to avoid hands-on coding.

You’ll coordinate with GTM Tech, BT, and Data Engineering to define guardrails and governance for AI workflows, measure outcomes, and influence VP/SVP stakeholders toward modern, revenue-driven GTM

Qualifications

  • 8+ years in GTM/revenue ops or outbound prospecting in AI-driven demand generation.
  • 6+ years designing and mapping end-to-end GTM process architecture for large orgs.
  • 5+ years influencing VP/SVP-level stakeholders toward AI-driven GTM models.

Responsibilities

  • Map end-to-end AI-driven demand-gen strategy from signal to outbound workflows without hands-on coding.
  • Translate business needs into functional requirements for engineers and tech teams.
  • Align cross-functional strategy with ICP targeting, pipeline goals, and revenue metrics.
  • Define governance and guardrails for AI workflows, leaving day-to-day tool config to systems teams.
  • Monitor industry trends to advise on investments and roadmap priorities.
  • Measure prospecting effectiveness and optimize conversion pathways with analytics.

Skills

GTM / Revenue ops
Outbound prospecting
Stakeholder influence
AI GTM concepts

Tools

Clay
6sense
Salesforce
Sales Engagement Platforms
Outreach
SalesLoft

Job description

Workday’s Global Customer Operations team seeks a strategic operator to map AI-driven demand-generation processes and translate business needs into high-level system requirements. This role partners with Sales, SDR, Product, and Marketing to align strategy with execution and to avoid hands-on coding.

You’ll coordinate with GTM Tech, BT, and Data Engineering to define guardrails and governance for AI workflows, measure outcomes, and influence VP/SVP stakeholders toward modern, revenue-driven GTM

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