Training Manager, AI Experiences

Microsoft

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Redmond, WAMountain View, CANew York, NYVancouver, BC, CanadaSan Francisco, CABarcelona, Catalonia, SpainCairo, Egypt
Salary
$97,600–$188,400 / yr
Posted
16 days ago
Freshness
Confirmed live yesterday
Closes
Feb 22, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k
This role $143k
$79k most similar roles pay here $267k

This role pays less than 91% of similar roles. Most pay $166,500–$248,575 — the shaded band above. At the midpoint, this role pays about $143k versus about $208k for comparable roles.

Based on 239 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 586 roles with salary data.

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At a glance

TL;DR · Training Manager, AI Experiences

The Training Manager, AI Experiences joins the AIX Ops team to establish a deliberate learning function for an organization focused on end-user AI products like Copilot and Search. This role involves owning the comprehensive learning strategy and curriculum, where you will conduct needs analyses to design role-based paths for engineers, managers, and new hires. You will build manager enablement for performance cycles, train DRI and planning practitioners on the Atlas tool, and foster organizational AI fluency through a champions network. Key responsibilities include managing corporate training compliance via Viva Learning and spearheading the Aspire program for university hires. You will utilize instructional design principles like ADDIE to measure behavior change and tool adoption. The role requires expertise in technical enablement, content creation from subject matter expert input, and navigating complex matrixed environments to drive large-scale organizational growth.

What you'll do

  • Develop and manage the AIX learning strategy, curriculum, and role-based training paths for various employee levels.
  • Create and deliver manager enablement programs focused on performance cycles, rewards, and talent management.
  • Provide technical training for DRIs and planning practitioners to ensure proficiency in internal tools like Atlas.
  • Establish an AI champions network and develop practical guidance for using AI tools in daily workflows.
  • Manage corporate training compliance by tracking completion rates and escalating gaps to leadership.
  • Lead the Aspire program to provide specialized onboarding and professional development for university hires.
  • Measure training success through behavioral changes, tool adoption metrics, and data quality rather than just completion rates.
  • Scale training delivery using train-the-trainer models and AI-assisted tools for content creation and reporting.

What we're looking for

  • Bachelor's degree in Business, Education, Communications, Human Resources, Organizational Development, or a related field.
  • 4+ years of experience in learning and development, technical/professional training, enablement, or program management with a substantial training component.
  • 10+ years of experience in learning and development, enablement, or training program management is preferred.
  • Experience building curriculum from needs analysis through design, delivery, and measurement for large, distributed audiences.
  • Experience delivering training in technical or engineering environments while collaborating with subject matter experts.
  • Formal grounding in instructional design and adult learning models such as ADDIE, 70-20-10, or Kirkpatrick evaluation.
  • Experience building manager enablement around performance, compensation, or talent cycles in partnership with HR.
  • Experience driving adoption for internal platforms, managing compliance training, or building AI fluency programs.

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