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Los Angeles, California, United States
Hybrid
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and business operations – connecting brand-level innovation with scaled enablement across Match Group.
You will partner closely with AI Brand Leads, business leaders, and functional teams to translate emerging AI capabilities into practical, role-specific applications that drive meaningful behavior change. This role plays a critical part in ensuring employees move beyond basic usage to more advanced, integrated applications of AI in their day-to-day work.
This is not a traditional L&D role. It is a cross-brand enablement role focused on surfacing what’s working, scaling best practices, and accelerating adoption across a decentralized ecosystem.
This role may travel to key hub cities including Dallas, LA, New York, Vancouver, and Paris; however will be based our of LA, Palo Alto, or San Francisco office and we work in office 3 days/week.
Shape the AI Enablement Strategy
Develop and maintain a company-wide AI learning roadmap, identifying where AI can create the most meaningful business impact across functions
Serve as a strategic advisor to business leaders, translating organizational goals into targeted AI priorities and phased adoption plans
Synthesize signals from across the business (adoption trends, emerging tools, team needs) to inform and evolve the enablement approach
Influence how Match Group thinks about AI as a competitive capability — not just a productivity tool — and help shape the long-term vision for an AI-native workforce
Partner with Business Leaders to Drive Impact
Build trusted relationships with senior leaders and functional teams to understand their highest-priority challenges and co-create AI solutions
Lead discovery and scoping conversations that translate business problems into concrete AI use cases with measurable outcomes
Act as the connective tissue between technical capabilities and business needs — bridging what's possible with what matters
Drive alignment across stakeholders on adoption priorities, sequencing, and success metrics
Build & Activate AI Capability Across the Organization
Own the middle layer of AI enablement — the space between introductory training and deep technical work — where real behavior change and workflow integration happen
Design and deliver hands-on learning experiences grounded in real business scenarios, moving employees from basic usage to advanced, integrated application
Build scalable resources — playbooks, prompt libraries, workflows, toolkits — that embed AI into how people actually work
Close adoption gaps by identifying underutilizing teams and designing targeted enablement approaches, especially for non-technical employees and late adopters
Partner with and coordinate internal SMEs and external vendors to deliver high-quality, role-specific training— this role enables teams to execute, it doesn’t deliver everything itself
Track adoption and impact: usage, behavior change, and efficiency gains
Embed AI into Talent & Culture
Identify strategic opportunities to integrate AI into core Talent & Culture programs, including learning, performance management, and career development
Influence how Talent Management and Learning programs are redesigned with AI at their core — from AI-supported goal setting and development planning to feedback and coaching
Experiment with and scale AI-enabled solutions that meaningfully improve efficiency and employee experience
Inform Tool Adoption (Advisory Role)
Provide the AI Council with practical, employee-centered perspectives on AI tool adoption, scalability and usability based on business needs and employee experience
Advise on pilot and rollout strategies by bringing an enablement, adoption and employee experience perspective to tool evaluations
Gather and synthesize employee feedback, usage insights and adoption considerations to help inform rollout decisions and guidance
Translate the capabilities of vetted, approved tools into practical workflows, use cases and enablement resources
Build the AI Enablement Ecosystem
Architect and maintain a centralized AI enablement hub — a go-to resource for best practices, self-serve learning, and just-in-time guidance
Curate external learning resources and vendor partnerships that accelerate capability building at scale
Ensure content evolves continuously alongside new tools and internal use cases
Champion Responsible AI
Partner with Legal, IT, and Communications to ensure all enablement includes clear, practical guidance on responsible and safe AI use
Align enablement efforts with internal governance and tool policies
Support structured onboarding and learning rollout for new AI tools
Measure What Matters
Define and track adoption, engagement, and effectiveness metrics that demonstrate business impact — not just activity
Use data and feedback to continuously sharpen the strategy and improve the quality of enablement
Share insights and adoption trends with senior leaders to inform ongoing investment decisions
7+ years of experience spanning AI, product, strategy, enablement, learning & development, or a related field — with a track record of driving organizational change
Demonstrated experience influencing senior leaders and driving cross-functional alignment without formal authority
Experience building or owning a strategic roadmap — whether for a product, capability, or organizational initiative
Hands-on fluency with AI tools (e.g., Claude, Glean, Cursor, Gemini, ChatGPT) and a genuine curiosity about what's coming next
Strong ability to translate technical capabilities into business language and practical, role-specific workflows
Proven ability to move organizations from awareness to adoption — identifying gaps, designing interventions, and measuring outcomes
Comfortable operating in ambiguity as a first-of-kind role; able to build structure and momentum without a pre-existing playbook
Experience working with or enabling technical teams (e.g., Engineering, Product, Data) alongside business and people functions
Experience working in a multi-brand or global tech organization
Background in engineering, AI systems, digital transformation, or learning strategy
Familiarity with agentic frameworks, automation tools, or AI workflow design