Hybrid Senior Software Engineering Manager, Artificial Intelligence

at Boeing

• Job title: Senior Software Engineering Manager, Artificial Intelligence
• Job type: Full Time
• Experience level: Senior
• Salary: $234,600 - $317,400 per year
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Arlington, United States

About the role

• Senior Software Engineering Manager leading AI-enabled systems development at Boeing. Overseeing distributed teams to enhance engineering productivity and innovation in aerospace technology.

Responsibilities

• 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