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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’re looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government.
Job Responsibility:
Recruit a high-performing engineering team
Drive engineering productivity
Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects
Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs
Work directly with customers to understand their problems and translate those into custom workflows within Scale’s platform
Be open to ~25% travel or relocation to a key customer geographic location
Collaborate with cross-functional teams to define 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
Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions
Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation
Requirements:
5+ years of full-time engineering experience, post-graduation
2+ years of prior engineering management or equivalent experience and previously 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
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) is a plus
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
This role will require an active TS/SCI security clearance or the ability to obtain a security clearance
Nice to have:
Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus