Principal AI Learning & Enablement Partner

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.

What You'll Do

Shape the AI Enablement Strategy

• This role is built for someone who wants to actively shape how AI takes hold at Match Group — not just execute on requests, but bring real perspective. You'll help translate business priorities into a phased, practical roadmap and be a genuine thought partner in how the company moves forward.

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

What We're Looking For

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

Nice to Have

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