Scale AI · 4 hours ago
Mission Software Engineering Manager, Public Sector
Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. The Mission Software Engineering Manager will play a critical role in supporting government customers by scoping and developing onsite solutions, driving engineering productivity, and leading a team of engineers on Generative AI projects.
AI InfrastructureArtificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
Responsibilities
Recruit a high-performing engineering team
Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects
Collaborating with cross-functional teams to define, design, and execute strategic roadmap
Work directly with customers to understand their problems and translate those into features in Scale’s platform
Be open to :25% travel or relocation to a key customer geographic location
Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments
Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
Deploy and maintain Scale software at customer sites
Develop customer requested features and work closely with them to ensure that they win customer love
Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions
Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions
Qualification
Required
Active TS/SCI security clearance or the ability to obtain a security clearance
Preferred
5+ years of full-time engineering experience, post-graduation
2+ years of prior engineering management or equivalent experience and has managed an engineering team
Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles
Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus
Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
Linux experience: Understanding of shell scripting, operating systems, etc
Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc)
Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
Understand unique DoD and USG constraints when it comes to technology
Benefits
Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
A commuter stipend
Company
Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions.
Funding
Current Stage
Late StageTotal Funding
$15.9BKey Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B
Recent News
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