Senior Program Manager, AI Enablement

Chime Chime · Fintech · Chicago, IL +2 · Business Operations

This role is a Senior Program Manager focused on AI Enablement within the Applied AI team at Chime. The primary responsibility is to own and drive cross-functional programs that help employees adopt and effectively use AI tools, ultimately making AI a trusted co-pilot. This involves designing, implementing, and measuring the success of enablement programs, fostering collaboration, and driving behavior change. While the role involves hands-on experience with AI tools and building AI-enabled solutions, its core function is program management and product enablement rather than direct AI/ML model development or research.

What you'd actually do

  1. Own cross-functional AI enablement programs end-to-end (e.g., AI Champions network, onboarding and activation programs): design, operating cadence, stakeholder activation, and fluency outcomes
  2. Go deep on workflow problems before proposing solutions — spend time understanding what's actually slowing teams down, then design programs and tools that address the root cause
  3. Partner directly with teams to build AI-enabled solutions — not just roll them out, but get hands-on in the design and build alongside the people doing the work
  4. Set the health model for your programs from day one — success metrics, milestones, and status that lives on shared surfaces without anyone having to ask
  5. Drive adoption of AAI-built tools and resources so Chimers can level up without going through AAI every time

Skills

Required

  • 5+ years of experience in program or project management, preferably in a fast-paced tech environment
  • Experience taking ambiguous problems and building a program around them; narrative, roadmap, milestones, and operating cadence without waiting for structure to be provided
  • History of driving behavior change, not just program completion, and the judgment to know the difference between a launch and a result
  • Hands-on experience building or automating workflows using AI tools — able to walk through something personally built, what broke, and what changed as a result
  • Experience owning large, distributed programs without direct authority over participants, and keeping them activated and accountable
  • Communication habits that keep stakeholders informed without them having to ask — status on shared surfaces, not surfaced reactively
  • Experience defining program health models upfront: success metrics, milestones, and measurement built in before launch, not retroactively
  • Comfort spending time in a problem before designing a solution
  • Familiarity with common productivity or workflow tools (e.g., Jira, Asana, Notion, etc)

Nice to have

  • Experience running ambassador, champion, or CoE programs; groups where you had no direct authority over participants but were accountable for their activation and outcomes
  • Background in enablement, L&D, or change management in a technology environment
  • Experience in an internal AI or enterprise AI adoption role
  • Hands-on experience with AI tooling (e.g., ChatGPT, Glean, Claude, Cursor, Gemini)
  • Background in product operations, business operations, or technical program management
  • Working knowledge of AI governance or Responsible AI principles

What the JD emphasized

  • Own cross-functional AI enablement programs end-to-end
  • hands-on experience building or automating workflows using AI tools
  • owning large, distributed programs without direct authority
  • defining program health models upfront