Senior Engineering Manager (Civil Aviation)

Air Space Intelligence•Boston, MA

About The Position

Air Space Intelligence (ASI) provides mission-critical technology that powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors, ASI delivers operational decision superiority by compressing days of analysis into seconds of action, pushing the boundaries of what’s possible. The Civil Aviation team is focused on modernizing America’s air traffic control system on an accelerated timeline. This involves tackling the complex real-time optimization challenge of safely coordinating tens of thousands of daily flights in a dynamic, safety-critical environment. The team is responsible for building next-generation trajectory prediction and decision-support systems, and preparing the airspace for emerging technologies such as commercial space operations and advanced air mobility. This mission-critical work requires exceptional precision, resilience, and reliability to ensure the safety and efficiency of the national airspace. As a Senior Engineering Manager for the Civil Aviation team, you will be responsible for leading the execution of large-scale, mission-critical systems that power aviation operations. This role involves overseeing multiple engineering teams across a complex, multi-year roadmap, and ensuring that 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. A key aspect of the role is operating deeply at the system design level, guiding architecture, enforcing engineering standards, and ensuring consistency across distributed systems. Furthermore, you will lead and develop teams using a high-autonomy management approach, which includes setting clear expectations and direction, supporting individual growth, and establishing appropriate metrics and feedback loops to ensure effective team operation. The goal is to create clarity and systems that enable teams to execute independently without heavy day-to-day oversight. You will also collaborate closely with product, program management, and domain experts to coordinate delivery across teams, focusing on building systems that integrate complex datasets, support simulations, and facilitate real-time decision-making.

Requirements

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.
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.

Nice To Haves

Exposure to geospatial, mapping, navigation, or aviation-related systems.
Experience working in cloud environments and regulated systems (e.g., FedRAMP or similar).

Responsibilities

Lead the execution of large-scale, mission-critical systems that power aviation operations.
Oversee multiple engineering teams across a complex, multi-year roadmap.
Ensure systems meet strict reliability, performance, and compliance requirements.
Drive execution across parallel workstreams.
Align teams around clear technical direction and delivery against a highly complex set of system requirements.
Operate deeply at the system design level—guiding architecture, enforcing engineering standards, and ensuring consistency across distributed systems.
Lead and develop teams through a high-autonomy management approach.
Set clear expectations and direction for teams.
Support individual growth within teams.
Establish the right metrics and feedback loops to ensure teams are operating effectively.
Create clarity and systems that allow teams to execute independently without heavy day-to-day oversight.
Partner closely with product, program management, and domain experts to coordinate delivery across teams.
Build systems that integrate complex datasets, support simulations, and enable real-time decision-making.