Sr AI Technical Program Mgr I

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 paths
• Design gamification mechanics — challenges, leaderboards, badges, prompt-of-the-week, team-vs-team competitions — tied to real productivity outcomes, not vanity activity
• Identify and develop "AI champions" inside each business unit; equip them with playbooks, prompt libraries, and use-case templates
• Translate 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 filters
• Stand 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 requirements
• Maintain a sandbox/eval environment for testing new models, prompts, and connectors before broad rollout
• Monitor 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-mortems
• Track outage and degradation patterns and feed them back into vendor escalations and adoption planning
• Manage vendor relationships, support tickets, license utilization, and renewal readiness
• Keep 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 audiences
• Curate 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 material
• Identify and develop non-technical AI champions inside each function so support is local, contextual, and trusted
• Partner 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 counts
• Build AI-assisted dashboards that segment by org, role, geography, and use-case taxonomy
• Contribute to monthly and quarterly readouts for the AI Adoption team and executive leadership; partner with Finance on cost-per-active-user and ROI modeling
• Run 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 readiness
• Feed 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 engineer
• Hands-on experience configuring at least one enterprise AI platform (Claude, ChatGPT Enterprise, Copilot, Gemini, or similar) including SSO, permissions, and admin APIs
• Comfort 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 code
• Demonstrated ability to design and run an internal program — not just deliver tickets — including communications, training, and measurement
• Strong written communication; can write a runbook, a launch announcement, and a board-ready slide with equal comfort
• Data 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 environments
• Familiarity with enterprise AI deployment patterns: Bedrock, Azure OpenAI, API Gateway/Lambda authorizer architectures, CloudWatch/observability
• Background in change management, learning & development, or developer relations
• Experience designing gamification or community programs that survived past the launch high
• Working knowledge of AI governance frameworks such as ISO 42001 and EU AI Act implications
• Experience operating across geographies, especially EU works council environments

Why Join Us 

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 premiums
• Open PTO Policy
• 401(k) with up to 10% company matching and immediate vesting
• 12 Weeks Paid Maternity Leave
• 4 Weeks Paid Paternity Leave
• Flight 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