# Engineering Manager, Autonomy at True Anomaly

- Company: True Anomaly
- What the company does: Delivering decisive capabilities for space superiority. Backed by Accel and Menlo.
- Company website: https://www.trueanomaly.space/
- Type: Startups (AI role)
- Level: Senior
- Location: Denver, CO or Long Beach, CA
- Work setup: On-site
- Pay: $205K to $315K base salary per year (USD)
- Posted: 2026-08-27
- Apply by: 2026-10-12
- Apply: https://job-boards.greenhouse.io/trueanomalyinc/jobs/5224053007
- Page: https://www.1752.vc/careers/jobs/true-anomaly-engineering-manager-autonomy/

## About the role

As Engineering Manager, Autonomy, you will build and lead a team of autonomy engineers who develop multi-agent resource allocation systems and edge-deployed physical AI capabilities for spacecraft operations. You will be responsible for team growth, performance, and delivery while ensuring alignment with the broader autonomy roadmap spanning constellation scheduling, onboard replanning, and distributed coordination.

## What they're looking for

- Experience: 8+ years of experience in autonomous systems, robotics, AI/ML, or aerospace engineering with at least 4 years in people management, leading teams of 4+ engineers
- People Management: Demonstrated track record of building, growing, and developing high-performing engineering teams including hiring, performance management, and career development
- Leadership: Proven ability to lead through influence, manage stakeholder expectations, drive execution in ambiguous environments, and deliver results through others
- Domain Knowledge: Experience with real-time planning systems, resource-constrained deployment, or aerospace applications where autonomy operates under strict compute, latency, and power constraints
- Communication: Exceptional written and verbal communication skills with ability to influence senior leadership, translate between technical and non-technical audiences, and represent the team effectively
- Strategic Thinking: Ability to translate organizational objectives into team strategy, prioritize competing demands, and make trade-offs that balance technical excellence with delivery

Tags: Autonomy Engineering