Director, AI GTM Strategy & Enablement

Job Duties and Responsibilities

AI Product Ownership (GTM)

• Act as the Product Owner for the GTM function.
• Define requirements for new agents (e.g., "The Deal Velocity Agent must use the version-controlled content from the official GTM Knowledge Base").
• Prioritize the backlog based on business value before handing technical specs or POCs to the Enterprise AI Engineering team or fully building functional tools within our platform.
• Examples of possible priorities:
  • Profitability & Pricing Intelligence
  • Content Creation
  • In-Call Analysis & Next Action
  • Data Capture Automation
  • Role Play Simulation
  • Scaled Skill Development and Coaching

ROI, Portfolio Management & Governance

• Drive strict KPI alignment by leveraging a standard value realization framework for every initiative.
• Validate hard cost avoidance and efficiency gains.
• Present findings in quarterly business reviews (QBRs) to GTM leadership and CIO on the health of the AI portfolio.

Context Stewardship & Information Architecture

• Govern the "Source of Truth" that powers our internal GTM AI agents.
• Ensure product messaging, sales plays, and competitive intel are structured as a corporate asset to prevent hallucinations and feed the "Reltio Brain."

Process Re-engineering

• Partner with VP-level stakeholders to deconstruct complex workflows—such as customer-facing content creation, new hire enablement, sales event management, enablement content development, success planning—and redesign them as "Human-in-the-Loop" agentic workflows.
• Partner closely with Sales Operations to ensure tight data integration across our systems.

Existing Stack Optimization

• Champion and maximize the AI capabilities embedded within existing tooling, and identify gaps.
• Audit the current landscape to ensure we enhance existing investments, identify gaps to be filled, or move to leverage functionality that is not broadly being utilized in the AI tool stack.

Organizational Change & Culture

• Lead the cultural shift toward an "AI-First" GTM organization.
• Design enablement programs that upskill the GTM team and foster a "builder" culture.

Skills You Must Have

• Bachelor’s degree in Business, Analytics, or related field (MBA preferred).
• 10+ years of experience in B2B / SaaS revenue management, with significant experience in Sales Operations, Digital Transformation, or Product Strategy.
• Product & Builder Mindset: Inherent curiosity for AI and hands-on "tinkerer" mentality. Actively experiment with AI and track record of building tools/systems that solve systemic inefficiencies.
• Tolerance for Ambiguity: Ability to handle high degree of uncertainty, charting a course when the roadmap isn't fully defined.
• Strategic Leadership: Proven ability to influence C-level and VP-level stakeholders. Ability to say "no" to low-value AI experiments and steer toward high-impact structural changes.
• Business Analysis & Metrics: Experience quantifying value of internal projects. Comfortable calculating "time saved" or "cost avoidance" and presenting to leadership.
• AI & Systems Fluency: Strong conceptual understanding of AI architectures (e.g., agents, context windows, strategic differences between models like Gemini vs. Claude). Translate business needs into clear requirements for Enterprise AI Engineering team.
• Operational Rigor & Change Management: Proven ability to drive process improvements, technology rollouts, or behavioral shifts across cross-functional teams. Excel at establishing and governing centralized documentation and "Sources of Truth."

Skills That Are Nice to Have

• Experience with CRM and Customer Success Platforms and how data flows between GTM tools.
• Basic familiarity with Python or low-code automation tools (Zapier, Make) to prototype workflows.
• Experience in Knowledge Management or Information Architecture.
• Experience leading large-scale digital transformation initiatives across an enterprise function.

Compensation

Overall Market Range: $138,000—$283,000 USD