AI GTM Transformation Lead
Software Engineering, Data Science
Morrisville, NC, USA
USD 196,350-292,600 / year + Equity
Responsibilities
San Jose, California, United States; Morrisville, North Carolina, United States Job category: Sales Job ID: 135373-en_USOwn Every Moment at NetApp
At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.
Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that drive results, innovate to elevate, and excel together across every function.
About the Role:
AI is changing how go-to-market teams operate. We are seeking an AI GTM Transformation Lead to lead the end-to-end AI transformation of our Go-to-Market (GTM) Revenue Operations organization. This is a highly strategic, senior individual contributor role responsible for shaping how AI is applied across GTM RevOps, turning fragmented ideas into a coherent portfolio of scalable, governed, high-value transformation initiatives.
This leader will sit across the business and act as the connective tissue between the business, AI technologies, and execution teams. The role focuses on redesigning business outcomes using AI-native thinking, leveraging AI agents, orchestration layers, automation platforms, and human-in-the-loop systems to fundamentally transform how work gets done.
The role goes beyond automation delivery. It requires someone who can define the outcome design for AI transformation, redesign workflows for human-agent collaboration, guide initiatives from proof of concept through scaled autonomy, and ensure success is measured not only by deployment, but by adoption, trust, and business value.
What You'll Do:
Lead AI-Driven GTM Transformation
- Own the GTM RevOps AI transformation roadmap, aligning AI initiatives to business priorities, operational outcomes, and measurable value.
- Serve as the strategic leader connecting business goals, process design, governance, adoption, and execution.
Build and Prioritize the AI Portfolio
- Identify, assess, and prioritize high-impact AI, automation, and workflow transformation opportunities.
- Partner with stakeholders to define business requirements, future-state processes, success metrics, dependencies, and governance needs.
- Prepare initiatives for investment and portfolio review through structured evaluation and prioritization.
Design Human + AI Operating Models
- Reimagine workflows to optimize collaboration between people and AI agents.
- Define autonomy levels, exception handling, governance controls, and scalability requirements.
- Drive initiatives from proof-of-concept through pilot and enterprise-scale deployment.
Drive Cross-Functional Delivery
- Coordinate business, data, platform, and AI delivery teams to execute transformation initiatives.
- Translate business needs into requirements, user stories, acceptance criteria, and operational processes.
- Ensure solutions are scalable, integrated, and aligned with enterprise governance standards.
Shape Governance and Adoption
- Contribute to AI governance forums, prioritization decisions, and operating model design.
- Ensure appropriate attention to risk, security, compliance, and data governance.
- Partner with change leaders to build adoption, enablement, and trust across GTM teams.
Measure Impact and Continuous Improvement
- Establish and track metrics for adoption, productivity, quality, efficiency, and business impact.
- Use operational insights and user feedback to refine solutions, improve agent performance, and evolve the AI roadmap.
- Stay current on emerging AI capabilities and identify opportunities that create practical business value.
What Success Looks Like:
- AI initiatives are consistently well-shaped, decision-ready, and prioritized against the most important GTM business outcomes.
- GTM RevOps realizes measurable improvements in efficiency, cycle time, productivity, and operational capacity through well-governed AI and agentic automation.
- Human-agent workflows are implemented with clarity, trust, and strong user adoption rather than confusion or shadow experimentation.
- The organization develops reusable patterns, playbooks, and operating mechanisms that enable AI scale across multiple GTM processes.
- Delivery is coordinated and coherent across teams, with minimal duplication, clear ownership, and strong alignment to enterprise priorities.
- Leaders see this role as a strategic partner who can connect business transformation, AI innovation, and execution discipline in a fast-moving environment.
Education and Experience:
- Typically requires a minimum of 15 years of related experience
- Deep experience in Revenue Operations, GTM Operations, Sales Operations, Customer Operations, Solutions Engineering, or a closely related GTM function, with a strong understanding of how go-to-market teams operate end to end.
- Proven ability to lead complex, cross-functional transformation initiatives that require influence across business, technical, and operational stakeholders.
- Strong program and portfolio orchestration skills, including prioritization, dependency management, executive communication, and delivery alignment across multiple initiatives.
- Experience designing workflows, service models, or operating processes that span people, systems, data, and governance.
- Strong understanding of AI-assisted workflows, copilots, agentic automation, or intelligent process redesign.
- Ability to define value cases, KPIs, and success metrics for transformation programs and hold initiatives accountable to business outcomes.
- Experience working with ambiguity and building new operating models or capabilities where no playbook exists.
- Excellent executive presence and communication skills, with the ability to synthesize complex issues and influence senior leaders.
- Comfort partnering with technical teams and working across APIs, prompts, automation platforms, AI tools, and data/system dependencies, even if not acting as the primary engineer.
- Demonstrated ability to simplify complex concepts and enable broad adoption among non-technical users.
Compensation:
The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.
