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 Haves

• 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