Engineering Manager, Frontier AI Infrastructure - Public Sector

<p>Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are seeking a hands-on Engineering Manager to lead our Frontier AI Infrastructure team within Public Sector Engineering. This is a <strong>50/50 role</strong>: you&39;ll spend roughly half your time writing and reviewing code, and half your time leading, coaching, and growing a small team of engineers.</p> <p>Your team owns the model inference layer — enabling state-of-the-art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You&39;ll lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and debug platform issues, and you&39;ll partner upstream with Product to catch issues before they break, moving the team from "infra-only debugging" to proactive integration testing.</p> <h2>You will:</h2> <p><strong>As a manager - 50/50 management and hands on coding experience. </strong></p> <ul> <li>Lead, coach, and grow a team of engineers — own hiring, onboarding, performance, and career development.</li> <li>Set technical direction and quarterly priorities for the inference layer, and hold the team accountable to delivery on customer and contract commitments.</li> <li>Run the operational rhythm of the team: sprint planning, on-call rotation, incident review, and postmortems.</li> <li>Partner with Product, Program, and Deployed Engineering leadership to translate customer and mission requirements into roadmap.</li> <li>Represent the team in customer engagements and vendor escalations, including with government stakeholders.</li> <li>Design and implement secure, scalable backend systems for Public Sector cus