Staff, AI & Technology Enablement Manager

Responsibilities

• Audit workflows across Expert Excellence to identify automation opportunities and prioritize based on business impact
• Map the learning production workflow — identifying where friction accumulates and where automation can eliminate it
• Design and implement workflow infrastructure — routing logic, status visibility, and exception handling — so progress is observable without manual coordination overhead
• Own the PMO platform evaluation and implementation — leading the transition from fragmented tooling by Q3 FY27
• Design, deploy, and iterate AI agents that address the highest-value automation opportunities across Expert Excellence
• Build and run an org-wide AI enablement program — partnering with content, curriculum, and delivery teams to embed AI into their workflows and enabling teams to work with greater speed and efficiency
• Serve as Expert Excellence's internal AI subject matter expert — staying current on platform capabilities, governance guidance, and emerging agentic patterns
• Assess, rationalize, and manage the technology stack — owning build vs. buy vs. configure decisions and vendor relationships

Qualifications

• 7+ years in learning technology, operations, or EdTech with demonstrated ownership of end-to-end systems — not just features
• Hands-on experience building and deploying AI or automation systems in production — real users, real adoption cycles, real measurement, not prototype-only
• Direct production experience with large language model APIs — prompt engineering, knowledge base design, retrieval-augmented generation, structured output parsing, and trust model design
• Experience designing and managing agentic AI systems — multi-agent architectures, human-in-the-loop approval patterns, audit trail design, and failure mode thinking
• Demonstrated ability to drive workflow adoption without mandate — through peer proof, demonstrated usefulness, and social enablement infrastructure
• Experience enabling a non-technical team to use AI tools independently — building the social and instructional layer alongside the technical one
• Comfortable operating in the gap between L&D, operations, and technical systems — able to translate between business stakeholders and technical partners, and willing to push back on both
• Measurable track record of reducing operational friction through workflow redesign, automation, or platform consolidation — with before-and-after evidence
• Strong cross-functional influence skills — experience bringing stakeholders across business functions into alignment on a shared problem before building a shared solution
• Prior experience in a high-growth, high-ambiguity organization — comfortable building structure around chaos rather than waiting for it to resolve
• Bachelor's degree required; advanced degree in learning design, instructional technology, information systems, or related field preferred

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits).

The expected base pay range for this position is:

• Mountain View: $188,000-$221,600
• San Diego: $173,000-$203,000
• New York: $180,000-$212,000
• Atlanta/Charlotte/Dallas: $166,000-$195,700