Engineering Manager, Frontier AI Infrastructure - Public Sector
About the role
Hands-on Engineering Manager leading the Frontier AI Infrastructure team within Scale AI’s Public Sector Engineering. 50/50 role split between coding and people management, focusing on model inference layer, cloud integrations, security, and customer/contract delivery for public sector engagements.
Responsibilities
- Lead, coach, and grow a team of engineers — own hiring, onboarding, performance, and career development.
- Set technical direction and quarterly priorities for the inference layer, and ensure delivery on customer and contract commitments.
- Run the operational rhythm of the team: sprint planning, on-call rotation, incident review, and postmortems.
- Partner with Product, Program, and Deployed Engineering leadership to translate customer and mission requirements into roadmap.
- Represent the team in customer engagements and vendor escalations, including with government stakeholders.
- Design and implement secure, scalable backend systems for Public Sector customers, leveraging Scale's modern cloud-native AI infrastructure.
- Own services and systems alongside the team, define long-term health goals, and improve surrounding components.
- Stay in the code: review PRs, debug production issues, and take on meaningful technical work personally.
Qualifications
- At least 1-2+ years of direct people management experience leading a team of software engineers (hiring, performance management, and career development), plus a strong track record as a hands-on individual contributor.
- At least an active Secret clearance, and the ability and willingness to up-level to TS/SCI with CI Poly.
Skills
Benefits
- comprehensive health, dental and vision coverage
- retirement benefits
- a learning and development stipend
- generous PTO
- potential commuter stipend

About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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