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AI Co-Innovation Engineering Program Manager
Rockwell Automation. Drive operational rigor of complex, cross-functional AI and autonomy programs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in program management within AI and technical environments, leveraging strong communication and strategic planning skills to drive cross-functional collaboration and optimize program outcomes.
Highest-signal resume keywords
Program ManagementAI Systems KnowledgeCross-Functional CollaborationTechnical Strategy DevelopmentExecutive Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Program ManagementAI/ML EngineeringSoftware EngineeringPerformance MetricsOKRsKPI DevelopmentTechnical Feasibility AnalysisRoboticsAgentic FrameworksMulti-Stakeholder Program Management
Soft Skills
LeadershipCommunicationStrategic ThinkingProblem SolvingCollaboration
Tools & Technologies
ML PipelinesReference ArchitecturesDecision LogsEngagement StrategiesBusiness Rhythms
Industry Keywords
AIAutonomyTechnical PartnershipsSoftware DevelopmentData Science
About the role
Key responsibilities & impact- Drive operational rigor of complex, cross-functional AI and autonomy programs
- Serve as a technical thought partner to engineering teams and external technology partners
- Manage programs end-to-end, including plans, milestones, performance metrics, risks, and resource needs
- Define and run communication plans, landing strategies, business rhythms, executive updates, and decision logs
- Establish objectives and success criteria, hold teams accountable, and shepherd decisions to closure
- Use OKRs, KPIs, and performance metrics to demonstrate program value and business impact
- Identify process gaps and drive portfolio optimization
- Shape technical strategy for programs with strategic technology partners
- Advise stakeholders on technical feasibility and trade-offs involving agentic frameworks, robotics, and applied AI
- Critically review technical design documents and ask questions
- Promote reference architectures, standards, and reusable patterns
- Translate technology partner drivers into engagement strategies aligned with the roadmap
- Map partner capabilities to internal opportunities
- Qualify and prioritize partner opportunities and develop technical engagement plans
- Engage engineering, product, and R&D teams to confirm execution capability and unblock obstacles
Requirements
What you’ll need- Bachelor's Degree in relevant field
- Legal authorization to work in the US is required
- Employer will not sponsor individuals for employment visas, now or in the future, for this job opening
- Typically requires a minimum of 8 years of related experience
- Bachelor's Degree in Computer Science, Engineering, Data Science, or equivalent practical experience
- 5+ years of program management experience in software, AI, or other deeply technical environments
- Experience running complex, multi-stakeholder programs with engineering teams as a primary audience
- Track record of producing executive-quality updates and driving alignment in writing
- Background as a software engineer, AI/ML engineer, or in an adjacent technical role
- Working knowledge of modern AI systems — LLMs, agentic frameworks, ML pipelines — and/or robotics and autonomy stacks
- Experience working with or inside technology partnerships, including joint engineering, co-development, or vendor/partner integrations
- Experience building and running programs requiring cross-org collaboration and leadership support
- Passion for product roadmaps shaped by AI capabilities
Benefits
Comp & perks- Health Insurance including Medical, Dental and Vision
- 401k
- Paid Time off
- Parental and Caregiver Leave
- Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life