Jeppesen ForeFlight — Anywhere
Jeppesen ForeFlight builds industry-leading aviation software used by pilots, aircraft operators, and major airlines worldwide. As a high-growth, private equity-backed company, we are focused on scaling our operations, strengthening our financial infrastructure, and driving operational excellence across the business. Our team combines deep domain expertise with a collaborative, high-performance culture to solve complex challenges and support continued growth.
We're hiring a hands-on AI Adoption Champion to drive responsible, measurable adoption of AI tools across our ~3,000-person aviation software organization. This is a hybrid technical-and-programmatic role: you'll drive the platform configuration, day-to-day operations, and be the visible internal champion who makes AI useful, safe, and a little bit fun for engineers, product, customer success, legal, and back-office teams alike.
You'll partner closely with IT/Security, Legal, HR, and our business unit leaders. The ideal candidate would thrive spearheading cross-functional AI adoption strategies with their hands-on knowledge of AI systems, and consumable communications to C-level executives and early career developers alike.
Key Responsibilities
Drive Adoption and Engagement
Build and run a multi-channel adoption program: office hours, internal community (Slack/Zoom/Confluence), demos, training, and on-demand learning pathsDesign gamification mechanics — challenges, leaderboards, badges, prompt-of-the-week, team-vs-team competitions — tied to real productivity outcomes, not vanity activityIdentify and develop "AI champions" inside each business unit; equip them with playbooks, prompt libraries, and use-case templatesTranslate wins into stories: surface high-impact examples and amplify them through internal comms, all-hands, and exec updates
Configure and Integrate
Own the configuration of our enterprise AI platforms (Claude, Copilot, and adjacent tools): user provisioning, SSO/SCIM, permissions, data controls, retention policies, content filtersStand up and maintain integrations with our identity, observability, and productivity stack (Okta, AWS, Slack, M365, Jira, etc.)Configure guardrails aligned to our AI governance framework, including data classification, sensitive-data handling, and region-specific requirementsMaintain a sandbox/eval environment for testing new models, prompts, and connectors before broad rolloutMonitor and communicate the art of the possible using emerging foundation models, skills, MCPs, and related technologies
Support, Operate, and Break/Fix
Serve as the AI-tooling subject-matter expert during incidents; IT, Business Applications, and Customer Support own incident response and RCA, with this role looped in on outages, degradations, and post-mortemsTrack outage and degradation patterns and feed them back into vendor escalations and adoption planningManage vendor relationships, support tickets, license utilization, and renewal readinessKeep an internal status page and known-issues log so users always know what's working
Enabling Non-Developers
Build role-specific learning paths for non-technical functions, e.g., plain-language curricula with realistic, function-specific examples (a CS rep summarizing tickets, a legal analyst reviewing a vendor MSA, an FP&A analyst drafting variance prose)Run guided, hands-on workshops and "first-use" sessions; Default to live coaching over self-service docs for many of these audiencesCurate role-tuned, organizationally available tools including prompt libraries, Skills, MCPs, and git-backed Plugins that are easy to install and separately maintained from the developer-oriented materialIdentify and develop non-technical AI champions inside each function so support is local, contextual, and trustedPartner with HR and Communications to weave AI fluency into onboarding for every new hire, regardless of role
Measure and Report
Define and instrument the adoption KPIs that matter: active usage, depth of use, use-case mix, productivity outcomes, and ROI signals — not just seat countsBuild AI-assisted dashboards that segment by org, role, geography, and use-case taxonomyContribute to monthly and quarterly readouts for the AI Adoption team and executive leadership; partner with Finance on cost-per-active-user and ROI modelingRun periodic surveys and qualitative research to complement the quant picture
Partner and Scale
Work with Legal, Privacy, and HR on policy, training, and regional rollout (including co-determination processes where applicable)Partner with IT/Security on access reviews, DLP, and audit readinessFeed learnings back into the AI governance framework and use-case taxonomy
Basic Qualifications
3+ years in a technical role that touched both platform/admin operations and internal stakeholders — examples: SaaS admin (Salesforce, Workday, Atlassian), DevOps/SRE with internal-tools focus, sales engineer, solutions architect, or enterprise IT engineerHands-on experience configuring at least one enterprise AI platform (Claude, ChatGPT Enterprise, Copilot, Gemini, or similar) including SSO, permissions, and admin APIsComfort with cloud infrastructure concepts (AWS or Azure), identity (Okta/Entra/OIDC), and basic scripting (Python, JavaScript, or PowerShell) — enough to debug an integration, not necessarily ship production codeDemonstrated ability to design and run an internal program — not just deliver tickets — including communications, training, and measurementStrong written communication; can write a runbook, a launch announcement, and a board-ready slide with equal comfortData fluency: you can build a dashboard, interpret a funnel, and tell the difference between a usage spike and a usage outcome
Preferred Qualifications
Have spent the last 6-12 months living alongside AI tools and workflows with an early-adopter mindset (knowledge graphs, skills and extensions, agentic workflows, continuous improvement)Experience in a regulated industry (aviation, aerospace, financial services, healthcare) and an instinct for safety-critical software environmentsFamiliarity with enterprise AI deployment patterns: Bedrock, Azure OpenAI, API Gateway/Lambda authorizer architectures, CloudWatch/observabilityBackground in change management, learning & development, or developer relationsExperience designing gamification or community programs that survived past the launch highWorking knowledge of AI governance frameworks such as ISO 42001 and EU AI Act implicationsExperience operating across geographies, especially EU works council environments
Why Join Us
Benefits
At Jeppesen ForeFlight, we know you want a rewarding career. To do that, you need challenging projects, a good work environment, and awesome coworkers. We believe in our employees, and we empower them to make a direct impact on our products and services. We strive to provide our employees with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits package includes but is not limited to the following:
Medical, dental, vision insurance with Employer paid health premiumsOpen PTO Policy401(k) with up to 10% company matching and immediate vesting12 Weeks Paid Maternity Leave4 Weeks Paid Paternity LeaveFlight Training Rewards
Pay is based upon candidate experience and qualifications, as well market and business considerations: Summary Pay Range:
Jeppesen ForeFlight - EOE including Disability/Vets | Pay Transparency | E-Verify Participant | Equal Opportunity Employer