About the role
About ASI
ASI is the frontier AI company that dynamically orchestrates critical infrastructure and defense assets, across air traffic control, energy, logistics, and combat operations. ASI's systems simulate physical operations, hours, days, and weeks ahead, so the people running air traffic control, the electric grid, and military operations can catch problems early and act before they spread. ASI is powering vital infrastructure for customers like United Airlines, National Grid, the Federal Aviation Administration, Delta Air Lines and the Department of War. ASI is headquartered in Boston with offices in Washington, DC, Denver, and Europe, and is backed by leading investors, including Andreessen Horowitz, Citadel Securities, and Spark Capital.
About the Civil Aviation Team
We are modernizing America’s air traffic control system on an accelerated timeline, tackling one of the world’s most complex real-time optimization challenges: safely coordinating tens of thousands of daily flights in a dynamic, safety-critical environment. Our team is building next-generation trajectory prediction and decision-support systems while preparing the airspace for emerging technologies like commercial space operations and advanced air mobility. This mission-critical work demands exceptional precision, resilience, and reliability to support the safety and efficiency of the national airspace.
What You Will Do
As a Senior Engineering Manager for the Civil Aviation team, you will lead the execution of large-scale, mission-critical systems that power aviation operations. You will oversee multiple engineering teams across a complex, multi-year roadmap, ensuring systems meet strict reliability, performance, and compliance requirements. You will drive execution across parallel workstreams, aligning teams around clear technical direction and delivery against a highly complex set of system requirements, while operating deeply at the system design level—guiding architecture, enforcing engineering standards, and ensuring consistency across distributed systems.
You will also lead and develop teams through a high-autonomy management approach: setting clear expectations and direction, supporting individual growth, and establishing the right metrics and feedback loops to ensure teams are operating effectively—ultimately creating clarity and systems that allow teams to execute independently without heavy day-to-day oversight.
You’ll partner closely with product, program management, and domain experts to coordinate delivery across teams, building systems that integrate complex datasets, support simulations, and enable real-time decision-making.
What We Value
- Strong experience leading large-scale engineering efforts across multiple teams (e.g., 5–7+ teams)
- Proven ability to manage complex, multi-year roadmaps with many interdependent systems and requirements
- Deep understanding of distributed systems and system design, with a focus on reliability, scalability, and fault tolerance
- Experience driving high-availability systems (e.g., 99.99% uptime) and enforcing reliability standards across teams
- At least 2-3+ years of engineering management experience, with prior experience as a software engineer
- Ability to set structure, align teams, and drive execution across large programs
- Experience coordinating work across multiple parallel workstreams with clear ownership and accountability
- Strong judgment in prioritization, tradeoffs, and delivery under constraints
- High bar for engineering quality, operational excellence, and accountability
- Ability to build trust and lead effectively in a mission-critical environment
- Exposure to geospatial, mapping, navigation, or aviation-related systems is a plus
- Experience working in cloud environments and regulated systems (e.g., FedRAMP or similar) is a plus
How We Hire
We look at the interview process not as a screening or test, but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.
ASI works with export-controlled technology and restricted U.S. Government data, including on contracts mandating U.S. immigration status and location restrictions for performing personnel. Employment offers are contingent on ability to timely obtain all required authorizations for contemplated job duties.