A hybrid role at Match Group.
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Original listing text, shown exactly as published by the company.
Shape the AI Enablement Strategy
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Develop and maintain a company-wide AI learning roadmap, identifying where AI can create the most meaningful business impact across functions
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Serve as a strategic advisor to business leaders, translating organizational goals into targeted AI priorities and phased adoption plans
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Synthesize signals from across the business (adoption trends, emerging tools, team needs) to inform and evolve the enablement approach
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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
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Build trusted relationships with senior leaders and functional teams to understand their highest-priority challenges and co-create AI solutions
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Lead discovery and scoping conversations that translate business problems into concrete AI use cases with measurable outcomes
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Act as the connective tissue between technical capabilities and business needs — bridging what's possible with what matters
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Drive alignment across stakeholders on adoption priorities, sequencing, and success metrics
Build & Activate AI Capability Across the Organization
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Own the middle layer of AI enablement — the space between introductory training and deep technical work — where real behavior change and workflow integration happen
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Design and deliver hands-on learning experiences grounded in real business scenarios, moving employees from basic usage to advanced, integrated application
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Build scalable resources — playbooks, prompt libraries, workflows, toolkits — that embed AI into how people actually work
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Close adoption gaps by identifying underutilizing teams and designing targeted enablement approaches, especially for non-technical employees and late adopters
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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
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Track adoption and impact: usage, behavior change, and efficiency gains
Embed AI into Talent & Culture
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Identify strategic opportunities to integrate AI into core Talent & Culture programs, including learning, performance management, and career development
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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
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Experiment with and scale AI-enabled solutions that meaningfully improve efficiency and employee experience
Inform Tool Adoption (Advisory Role)
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Provide the AI Council with practical, employee-centered perspectives on AI tool adoption, scalability and usability based on business needs and employee experience
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Advise on pilot and rollout strategies by bringing an enablement, adoption and employee experience perspective to tool evaluations
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Gather and synthesize employee feedback, usage insights and adoption considerations to help inform rollout decisions and guidance
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Translate the capabilities of vetted, approved tools into practical workflows, use cases and enablement resources
Build the AI Enablement Ecosystem
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Architect and maintain a centralized AI enablement hub — a go-to resource for best practices, self-serve learning, and just-in-time guidance
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Curate external learning resources and vendor partnerships that accelerate capability building at scale
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Ensure content evolves continuously alongside new tools and internal use cases
Champion Responsible AI
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Partner with Legal, IT, and Communications to ensure all enablement includes clear, practical guidance on responsible and safe AI use
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Align enablement efforts with internal governance and tool policies
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Support structured onboarding and learning rollout for new AI tools
Measure What Matters
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Define and track adoption, engagement, and effectiveness metrics that demonstrate business impact — not just activity
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Use data and feedback to continuously sharpen the strategy and improve the quality of enablement
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Share insights and adoption trends with senior leaders to inform ongoing investment decisions
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7+ years of experience spanning AI, product, strategy, enablement, learning & development, or a related field — with a track record of driving organizational change
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Demonstrated experience influencing senior leaders and driving cross-functional alignment without formal authority
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Experience building or owning a strategic roadmap — whether for a product, capability, or organizational initiative
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Hands-on fluency with AI tools (e.g., Claude, Glean, Cursor, Gemini, ChatGPT) and a genuine curiosity about what's coming next
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Strong ability to translate technical capabilities into business language and practical, role-specific workflows
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Proven ability to move organizations from awareness to adoption — identifying gaps, designing interventions, and measuring outcomes
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Comfortable operating in ambiguity as a first-of-kind role; able to build structure and momentum without a pre-existing playbook
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Experience working with or enabling technical teams (e.g., Engineering, Product, Data) alongside business and people functions
Nice to Haves
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Experience working in a multi-brand or global tech organization
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Background in engineering, AI systems, digital transformation, or learning strategy…
Match Group
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78 open roles on Sydicom
Match Group, Inc. is an American internet and technology company headquartered in Dallas, Texas. It owns and operates the largest global portfolio of popular online dating services including Tinder, Match.com, Meetic, OkCupid, Hinge, Plenty of Fish, Azar, and other dating global brands. The company was owned by IAC until July 2020 when Match Group was spun off as a separate, public company. As of 2019, the company had 9.3 million subscribers, of which 4.6 million were in North America. Japan is the company's second largest market, after the United States.
Source: Wikipedia
