AI GTM Transformation Lead

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 focuseson 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 theoutcome 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.

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.

• 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.

• 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.