Field Engineering Manager, Public Sector

Scale AI•St. Louis, MO

About The Position

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. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You’ll play a critical role in delivering technical solutions—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs.

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.

Responsibilities

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