Internal AI Innovation Lead

Role Summary

Navan is seeking a highly AI-savvy Internal AI Innovation Lead to drive an AI-first mindset across our workforce. In this role, you will combine deep familiarity with modern AI tools with a product management approach, building the internal AI environments, community, and educational frameworks needed to empower every department.

Your primary goal is to cultivate a network of AI Champions across the company who are fluent in AI and capable of building functional AI proof-of-concept (POC) solutions to solve real business challenges.

$172,800 — $384,000 USD

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.

• Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here . Your decision to do so will not affect how your candidacy is evaluated.

Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Responsibilities

• Manage AI Environments as Products: Treat our internal AI platforms, tools, and sandboxes as internal products—ensuring high adoption, strong guardrails, and continuous improvements based on user needs.
• Lead AI Education & Support Plans: Design accessible, high-impact training programs, workshops, and resource hubs that upskill teams—moving employees beyond basic prompts to confident, creative AI adoption.
• Guide Business-Led POCs: Partner with business units to identify high-value opportunities and help them build, test, and launch fast-turnaround AI proof-of-concept prototypes.
• Cultivate AI Champions: Build and energize a cross-departmental community of AI advocates. Mentor these champions so they can independently design AI solutions within their own teams.
• Drive an AI-First Culture: Stay ahead of emerging AI tools and trends, rapidly evaluating new capabilities and demonstrating practical ways to embed AI into everyday operations.

Requirements

• Strong AI Savviness: Exceptional hands-on fluency with modern AI tools, GenAI platforms, custom agents, and prompt engineering, with the natural ability to spot opportunities for AI automation.
• Rapid Prototyping Skills: Comfortable using low-code/no-code AI builders, platform features, or lightweight tools to rapidly build and validate working POCs alongside business teams.
• Internal Product Mindset: Experience treating internal platforms or programs as products, using feedback, iteration, and adoption metrics to refine the user experience.
• Enablement & Mentorship: Strong track record of designing engaging training, building active employee communities, and teaching non-technical teams how to build with new technology.
• Change Leadership: Excellent storytelling, facilitation, and communication skills to motivate employees and embed an AI-first culture across the company.

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.

For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.