Senior Software Engineering Manager, Artificial Intelligence
Boeing
full-time
Posted on:
Location Type: Hybrid
Location: Arlington • District of Columbia, Massachusetts, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $234,600 - $317,400 per year
Job Level
Senior
About the role
- Lead end-to-end product development for AI-enabled systems, ensuring technical execution, cross-functional alignment, and adherence to principled AI practices.
- Lead teams that design, develop, deploy, maintain, and sustain AI-enabled systems and products.
- Supervise onsite, distributed, and remote engineering teams, optimizing collaboration and productivity across locations.
- Oversee portfolio planning and coordinate closely with Technical Product Managers to align priorities, roadmaps, and delivery outcomes.
- Provide project leadership, including scheduling, resource allocation, risk management, and milestone accountability.
- Apply Agile development methodologies to enable iterative delivery, rapid feedback cycles, and continuous improvement.
- Drive innovation by challenging current practices and applying creative, evidence-based solutions to complex problems.
- Define AI product strategy and frame problems to deliver measurable business and operational impact.
- Promote data literacy and apply data-product thinking to ensure robust data pipelines, feature engineering, and lifecycle management.
- Implement model-driven development grounded in machine learning fundamentals, reproducibility, and performance validation.
- Apply human-centered design principles to ensure usability, adoption, and effective integration with workflows.
- Champion responsible AI practices and governance, including fairness, transparency, explainability, and regulatory compliance.
- Ensure adherence to appropriate standards, processes, procedures, and tools throughout the system development life cycle.
- Build and sustain effective partnerships with international teams, integrate global contributors into core workflows, and apply process improvement practices to optimize delivery.
- Coordinate with international teams to achieve shared business objectives and align on priorities.
- Integrate global contributors into domestic team workflows to ensure seamless collaboration, knowledge transfer, and consistent delivery practices.
- Apply LEAN, Six Sigma, and other process improvement methodologies to manufacturing and application development across distributed teams.
- Design and implement standardized processes, metrics, and tooling that reduce variation and improve throughput across geographic boundaries.
- Foster a culture of partnership, inclusivity, and mutual accountability that empowers distributed teams to own outcomes.
- Experiment with and adopt innovative collaboration models and technologies to maximize effectiveness of globally distributed teams.
- Maintain continuous learning to remain current with emerging AI technologies, techniques, and industry best practices.
- Lead change management initiatives to drive adoption, minimize disruption, and sustain improvements.
- Apply business acumen in aviation, aerospace, and defense to align technical decisions with strategic and operational imperatives.
- Prioritize customer needs and deliver products that meet the highest standards of safety and quality.
- Communicate clearly and persuasively, both verbally and in writing, across all levels of the engineering organization, including executive leadership.
- Manage budgeting and cost estimating using frameworks such as Earned Value Management, Manufacturing Estimate at Complete, and cost-benefit analysis to inform investment and delivery decisions.
- Manage and provide leadership to employees and mid-level managers engaged in AI-enabled system design, development, deployment, maintenance and sustainment.
- Foster employee development, motivation, and performance management for both individual contributors and mid-level managers.
- Acquire and cultivate AI talent and allocate staff to support organizational activities and initiatives.
- Develop and execute integrated organizational plans, policies, and procedures aligned with business and the Boeing AI strategy, goals, and objectives and technology roadmap.
Requirements
- 10+ years managing technical teams involved in software development
- Experience managing or leading AI development teams
- 5+ years using modern software development methodologies
- 5+ years using Agile software development methodologies
- Bachelor of Science degree from an accredited course of study in engineering, engineering technology, chemistry, physics, mathematics, data science, or computer science
- Advanced degree in engineering, AI, data science, or related field
- 5+ years managing AI development teams strongly preferred
- Expertise in product life cycles specific to aviation and aerospace systems
- Experience working across engineering disciplines, including hardware, systems, mechanical, and industrial engineering
- Experience with Scaled Agile Framework (SAFe) and/or serving as an Agile scrum master or Release Train Engineer (RTE)
Benefits
- health insurance
- flexible spending accounts
- health savings accounts
- retirement savings plans
- life and disability insurance programs
- paid and unpaid time away from work
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI developmentAgile methodologiesLEANSix Sigmamachine learningdata-product thinkingmodel-driven developmentproject leadershiprisk managementproduct life cycles
Soft skills
communicationleadershipcollaborationproblem-solvinginnovationemployee developmentchange managementcustomer focuspartnershipinclusivity
Certifications
Bachelor of Science degreeAdvanced degree in engineeringAdvanced degree in AIAdvanced degree in data science