Leading internal AI transformation at your company? Join other leaders

Internal AI Job Board

Principal AI Learning & Enablement Partner

Match Group - Multiple cities

Non-technical Verified May 26, 2026 Source: match.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: $180,000 - $230,000 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered

Responsibilities

  • 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
  • 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
Apply on the original posting

Related internal AI jobs

Leading internal AI transformation at your company? Join other leaders

Internal AI jobs for people putting agents to work

The job board tracks internal AI operations and internal AI engineer roles at companies putting AI into daily work.

These roles give other teams leverage: better workflows, useful agents, internal tools, and support for adoption.

Built with Concept.dev

Concept works with leading enterprises to design, build, and deploy personalized AI coworkers. Concept is built by leaders from Ramp, OpenAI, Google DeepMind, and Scale.

X/Twitter · LinkedIn · Contact