Director, AI GTM Strategy & Enablement (AI)

TL;DR

Director, AI GTM Strategy & Enablement (AI): Serve as AI Product Owner for GTM functions, defining requirements for AI agents and managing backlog to drive operational efficiency with an accent on profitability intelligence, content creation, and in-call analysis. Focus on re-engineering workflows into human-in-the-loop agentic processes, governing knowledge bases, and validating ROI through value realization frameworks.

Location: United States

Salary: $138,000 - $283,000 USD

Company

AI-powered data unification and management platform delivering cloud-native MDM for enterprise brands across industries.

What you will do

• Act as AI Product Owner for GTM, defining requirements for agents like Deal Velocity Agent and prioritizing backlog for engineering handover.
• Drive ROI and portfolio governance using value realization framework, validating efficiency gains in quarterly reviews.
• Govern GTM knowledge bases as source of truth to power AI agents and prevent hallucinations.
• Re-engineer workflows such as content creation and new hire enablement into AI-augmented processes with Sales Operations.
• Optimize existing AI tools, audit stack, and identify gaps for enhanced utilization.
• Lead cultural shift to AI-First GTM with upskilling programs and builder mindset.

Requirements

• Bachelor’s degree in Business, Analytics, or related (MBA preferred).
• 10+ years in B2B/SaaS revenue management, with experience in Sales Operations, Digital Transformation, or Product Strategy.
• Product & builder mindset with hands-on AI experimentation and track record of building efficiency tools.
• Tolerance for ambiguity and strategic leadership to influence C-level/VP stakeholders.
• Business analysis skills for quantifying project value like time saved or cost avoidance.
• AI fluency in architectures (agents, models like Gemini/Claude) to translate needs into specs.
• Operational rigor for process improvements and change management across teams.

Nice to have

• Experience with CRM/Customer Success platforms and data flows.
• Basic Python or low-code tools (Zapier, Make) for prototyping.
• Knowledge Management or Information Architecture experience.
• Large-scale digital transformation leadership.

Culture & Benefits

• Distributed workforce with flexible work arrangements.
• Values: Customer First, Better Together, Simplify and Share, Own It, Always Better Than Yesterday.
• Collaborative team focused on digital transformation with connected data.