AI Enablement ManagerHouston, TX
About Intuitive Machines:Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With multiple NASA lunar missions in development and additional private missions on our manifest, we pride ourselves in supporting NASA, our customers, and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety.
About the Position:Help employees use approved AI tools and Strike Team applications effectively in spacecraft engineering, manufacturing, and services. Embedded in the AI Strike Team, you will lead enablement from discovery through pilot launch and sustained adoption across six-week delivery sprints.
You will own the adoption plan, practical training, AI Champions Network, communications, and adoption measurement. Work directly with users and managers to make new capabilities part of everyday workflows. Success means recurring use that improves productivity, cycle time, or quality, supported by evidence from the business.
Responsibilities:- Join discovery sessions to understand user needs, readiness, workflow changes, and barriers to adoption. Define pilot cohorts, training needs, and adoption measures with the Product Lead and domain owner.
- Build an enablement plan for each six-week sprint, including onboarding, hands-on practice, launch communications, support, and follow-up. Recruit pilot participants and secure manager commitment.
- Own the General Store AI enablement portal. Maintain the approved tools catalog, policy and acceptable-use guidance, acknowledgement process, getting-started content, and support routes with IT and policy owners.
- Create and deliver training tailored to engineering, manufacturing, services, and business roles. Use real workflow exercises, demonstrations, quick-reference guides, office hours, and train-the-trainer sessions.
- Establish and operate an AI Champions Network across all Intuitive Machine locations. Equip champions to coach colleagues, gather feedback, and share validated practices.
- Observe users during pilots, identify friction, and coordinate fixes with application engineers and platform teams. Distinguish training gaps from access, usability, reliability, or workflow problems.
- Teach effective use of M365 Copilot, approved ChatGPT environments, and domain assistants, including output verification and human review.
- Reinforce approved data-handling practices for controlled unclassified information (CUI) and ITAR-controlled information. Coordinate training and policy acknowledgements with cybersecurity, compliance, and application owners.
- Track activation, recurring use, task completion, user proficiency, and business outcomes. Communicate verified results and recommend focused interventions when adoption or value falls short.
Requirements:- Bachelor's degree- four additional years of experience may be substituted for a degeree
- Minimum of 6 years in technology enablement, organizational change, learning and development, digital adoption, or a related discipline, with evidence of sustained adoption of enterprise tools.
- Hands-on experience using AI tools in business workflows and translating their capabilities and limitations into practical guidance for employees.
- Ability to design and facilitate effective adult learning, including hands-on exercises, concise documentation, demonstrations, and coaching for varied technical audiences.
- Experience leading pilots, stakeholder engagement, communications, and communities of practice across teams or business units.
- Ability to use dashboards, surveys, interviews, and workflow observations to diagnose adoption barriers and measure outcomes against a baseline.
- Strong writing, presentation, and facilitation skills; ability to influence managers and coordinate delivery without relying on direct reporting authority.
- Comfort working alongside software engineers, subject-matter experts, IT, and security teams in a rapid delivery environment.
Preferred Requirements: - Aerospace, defense, manufacturing, engineering, or another regulated environment with configuration control and sensitive information.
- Microsoft 365 Copilot, SharePoint, Teams, Power Automate, enterprise AI portals, or learning and adoption analytics tools.
- Building champion networks and scaling adoption across organizational or tenant boundaries; familiarity with approved GovCloud AI workflows.
How you will work with the teamThe Product Lead sets priorities and business outcomes with AI Council oversight. Forward Deployed Application Engineers build and evaluate applications; the Core Platform and DevSecOps team operates shared infrastructure. You own readiness, training, communications, champions, and adoption interventions. Domain owners validate workflow benefits and retain engineering approval authority. Cybersecurity and compliance owners define policy; IT and application owners manage access and technical support.
What success looks like- Within 30 days, assess readiness for priority workflows, establish adoption baselines, define the first pilot cohort, and prepare essential portal content and training.
- By the first six-week sprint review, launch enablement for a delivered capability, observe user performance, and report adoption, barriers, and validated early outcomes.
- Within 90 days, establish an active champion network, demonstrate recurring use in target cohorts, and provide a repeatable enablement approach for subsequent sprints.
- Measure impact through successful tasks and improvements in effort, cycle time, or quality, alongside recurring use and proficiency. Agree targets with business owners and include review and support effort when assessing benefits.
US EEO Statement:Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
