AI GTM Transformation Architect

NetApp

California (MO)

On-site

USD 180,000 - 280,000

Full time

14 days+
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Job summary

NetApp is seeking an AI GTM Transformation Lead to drive the end-to-end AI transformation of the Go-to-Market Revenue Operations organization. This senior individual contributor will connect business goals, AI technologies, and execution teams to redesign workflows, define autonomy levels, and scale AI-driven initiatives across GTM processes.

The role emphasizes adoption, trust, governance, and measurable business value, with a focus on translating fragmented ideas into a coherent portfolio of

Qualifications

  • Minimum of 15 years related experience in GTM/Revenue Operations and related functions.
  • Deep experience in Revenue Operations, GTM Operations, Sales Operations, or related GTM function.
  • Proven ability to lead complex cross-functional transformation initiatives.
  • Strong program and portfolio orchestration skills, including executive communication.
  • Experience designing workflows spanning people, systems, data, and governance.
  • Strong understanding of AI-assisted workflows, copilots, or agentic automation.

Responsibilities

  • Own the GTM RevOps AI transformation roadmap and align AI initiatives to business priorities and measurable value.
  • Lead cross-functional delivery of AI-driven transformation initiatives across business, data, platform, and AI teams.
  • Design human + AI operating models to optimize collaboration between people and AI agents.
  • Drive governance, adoption, and trust across GTM teams with clear ownership and scalability.
  • Measure adoption, productivity, and business impact and refine the AI roadmap.

Skills

AI strategy
GTM operations
Stakeholder management
Cross-functional leadership
Program management

Job description

NetApp is seeking an AI GTM Transformation Lead to drive the end-to-end AI transformation of the Go-to-Market Revenue Operations organization. This senior individual contributor will connect business goals, AI technologies, and execution teams to redesign workflows, define autonomy levels, and scale AI-driven initiatives across GTM processes.

The role emphasizes adoption, trust, governance, and measurable business value, with a focus on translating fragmented ideas into a coherent portfolio of

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