Director, AI GTM Strategy & Enablement

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Reltio is looking for a Director, AI GTM Strategy & Enablement to serve as the functional AI Product Owner for Sales, Solutions Consulting, Value Consulting, Professional Services, Customer Success, Sales Operations, Sales Enablement, Customer Support, and Alliances. In this role, you will act as the decisive bridge between the GTM team and the Enterprise AI Hub, translating cutting-edge AI capabilities into a long-term operational advantage.

You will be the strategic owner of GTM’s AI Operating Model. You will ideate with business leaders on best uses of AI, manage the backlog of AI use cases, own the proprietary knowledge bases that power our internal agents, and drive the change management required to make Reltio’s GTM team the most efficient in the industry. You will ensure that every AI initiative moves beyond "experimentation" to deliver measurable business outcomes (e.g., deal velocity, sales team efficiency, enablement speed, message compliance, skill scalability, speed to productivity of new hires, tool rationalization, ROI validation).

Job Duties and Responsibilities:

• AI Product Ownership (GTM): Act as the Product Owner for the GTM function. You will define requirements for new agents (e.g., "The Deal Velocity Agent must use the version-controlled content from the official GTM Knowledge Base"), prioritizing 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. You will be responsible for validating hard cost avoidance and efficiency gains and presenting 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. You will also 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. You will 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. You will 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: You possess an inherent curiosity for AI and a hands-on "tinkerer" mentality. You actively experiment with AI and have a track record of building tools/systems that solve systemic inefficiencies.

Tolerance for Ambiguity: Demonstrated ability to handle a 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. You must be able to say "no" to low-value AI experiments and steer leadership toward high-impact structural changes.
• Business Analysis & Metrics: Experience quantifying the value of internal projects. You should be comfortable calculating "time saved" or "cost avoidance" and presenting these metrics to leadership.
• AI & Systems Fluency: Strong conceptual understanding of AI architectures (e.g., agents, context windows, and the strategic differences between models like Gemini vs. Claude). You do not need to be a developer, but you must be able to translate business needs into clear requirements for the Enterprise AI Engineering team.
• Operational Rigor & Change Management: Proven ability to drive process improvements, technology rollouts, or behavioral shifts across cross-functional teams. You excel at establishing and governing centralized documentation and "Sources of Truth" to maintain organizational alignment.

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 before handing them to engineering.
• Experience in Knowledge Management or Information Architecture.
• Experience leading large-scale digital transformation initiatives across an enterprise function.