Senior Software Engineering Manager, Artificial Intelligence

Senior Software Engineering Manager, Artificial Intelligence

Company:

The Boeing Company

The Boeing Company is currently seeking a Senior Software Engineering Manager to support our Boeing Artificial Intelligence (AI) Applications & Innovations organization. The Senior AI Manager will be based in one of the following locations: Cambridge, MA, District of Columbia, Northern Virginia: Arlington, Chantilly, Fairfax, Herdon, Potomac Region. This position will focus on supporting the development of AI-enabled systems which drive engineering productivity and innovation, as well as impact production, products, and services. 

At Boeing, we accelerate the adoption of artificial intelligence across our product and service portfolios. To support this priority, we seek an AI Senior Manager to ensure our technical capabilities align tightly with customer needs. In this role, you will lead a geographically distributed engineering team to design, develop, and deploy AI-enabled systems that drive improvements in productivity, products, services, and production operations.  

You will also expedite the transition of research and development prototypes into validated products, services, and production-grade systems. Finally, you will recruit, mentor, and develop talent across and partner closely with globally distributed teams to establish scalable workflows that support sustained delivery and operational excellence.  

Find your future with us! 

Position 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. 

Basic Qualifications (Required Skills/ Experience): 

• 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 

Preferred Qualifications (Desired Skills/Experience):  

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing 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, from concept through disposal 

• 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). Certifications a plus. 

• Understand maintenance, retrofit, and sustainment processes for complex systems 

• Design and oversee test programs using methods such as design of experiments, formal test-plan development, and robust verification and validation practices. 

Drug Free Workplace: 

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. 

Travel: 

Up to 25% of the time. 

Relocation:  

This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. 

Pay & Benefits:  

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.   

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.   

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. 

Pay is based upon candidate experience and qualifications, as well as market and business considerations.   

Summary pay range for Manager Level (Level M): $234,600 - $317,400 

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret Clearance Post-Start is required.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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