Description
We're looking for a hands-on Field Engineering Manager to lead a team of field engineering efforts for our federal AI projects. As a Field Engineering Manager, you will play a critical role in delivering technical solutions while helping your team grow and execute. You will split your time between technical planning and execution (50%) and people management and team development (50%).
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.
- Collaborate with cross-functional teams to define, design, and execute strategic roadmaps 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.
- 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.
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions.
- Understand unique DoD and USG constraints when it comes to technology.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval.
You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.