Engineering Manager, Frontier AI Infrastructure - Public Sector

Scale AI
Washington
Workplace: OnsiteFull timeUSD 213,600 - 267,000 annuallyFunction: Government & Public AdministrationExperience: 1+ yearsSkills: ["Leadership","Coaching","Analytical problem-solving","Cross-functional collaboration","Communication"]

Lead a small Frontier AI Infrastructure team for the Public Sector business, owning the model inference layer end to end. Split your time between hands-on backend/code work and coaching engineers—setting technical direction, running sprint and incident rhythms, and delivering on customer/contract priorities. Partner with Product and other engineering leadership to translate mission requirements into roadmaps, and represent the team in customer and vendor escalations, including secure, scalable backend systems.

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FursaFursa
Scale AI
Scale AI
5 days ago

Engineering Manager, Frontier AI Infrastructure - Public Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead a small Frontier AI Infrastructure team for the Public Sector business, owning the model inference layer end to end. Split your time between hands-on backend/code work and coaching engineers—setting technical direction, running sprint and incident rhythms, and delivering on customer/contract priorities. Partner with Product and other engineering leadership to translate mission requirements into roadmaps, and represent the team in customer and vendor escalations, including secure, scalable backend systems.
Location: Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Government & Public Administration
Seniority: Manager level

Key Responsibilities

  • •Lead, coach, and grow a team of engineers, owning hiring, onboarding, performance, and career development.
  • •Set technical direction and quarterly priorities for the inference layer and hold the team accountable to delivery on customer and contract commitments.
  • •Run the team’s operational rhythm including sprint planning, on-call rotation, incident review, and postmortems.
  • •Partner with Product, Program, and Deployed Engineering leadership to turn customer and mission requirements into roadmap and proactively catch issues.
  • •Design and implement secure, scalable backend systems for Public Sector customers and stay in the code by reviewing PRs and debugging production issues.

Pay and Benefits

Salary: USD 213,600 - 267,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid LeaveCommuter Benefits

Key Requirements

  • •At least 1-2+ years of direct people management experience leading software engineers (hiring, performance management, and career development) with a strong track record as hands-on contributor.
  • •Must hold an active Secret clearance and be able/willing to up-level to TS/SCI with CI Poly.
  • •Willingness to remain hands-on in code (not purely people leadership).
  • •Proficiency with containerization and orchestration (e.g., Docker and Kubernetes) and experience developing/deploying in cloud-native environments.
  • •Experience delivering security-compliant solutions (e.g., Cloud SRG, FedRAMP, STIG Benchmarks) for strict security/regulatory requirements.
Experience:1+ yearsAIPublic sectorFederal compliance
Skills:LeadershipCoachingAnalytical problem-solvingCross-functional collaborationCommunication
Languages:English
Tech Stack:DockerKubernetesAWSAzureGCP

Eligibility

Security Clearance:SecretTS/SCICI Poly

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn