Public Sector AI Engineering Manager | Lead Backend & ML

United States Digital Space LLC; San Francisco, Washington (CA, District of Columbia); On-site; USD 216,000 - 270,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits

Learning stipend

Generous PTO

Commuter stipend

Job summary

Scale AI is seeking an Engineering Manager to lead a 6-8 person team focused on backend systems, distributed platforms, and ML tooling for federal customers. The role balances technical planning with people management and requires navigating complex compliance and security standards.

You will mentor engineers, shape roadmaps with cross-functional teams, and drive scalable solutions. The ideal candidate has 5+ years of software engineering, 2+ years in management, strong communication, and a

Qualifications

• 5+ years of full-time software engineering experience.
• 2+ years of prior engineering management experience.
• Strong background in software development across backend systems and distributed platforms.
• Experience with AI technologies for the public sector.
• Proven mentoring and leadership in successful projects.

Responsibilities

• Recruit a high-performing engineering team.
• Drive engineering productivity with mentorship and technical leadership.
• Collaborate with cross-functional teams to define and execute roadmap.
• Deliver scalable backend systems for federal customers leveraging modern AI infrastructure.
• Contribute to platform roadmap and product strategy for Scale AI's Federal business.

Skills

Engineering leadership

Mentoring

Communications

Generative AI

Cloud-native

Education

Bachelor's degree in CS or related field

Tools

Cloud platforms

ML tooling

Job description

Scale AI is seeking an Engineering Manager to lead a 6-8 person team focused on backend systems, distributed platforms, and ML tooling for federal customers. The role balances technical planning with people management and requires navigating complex compliance and security standards.

You will mentor engineers, shape roadmaps with cross-functional teams, and drive scalable solutions. The ideal candidate has 5+ years of software engineering, 2+ years in management, strong communication, and a