Field Engineer, Public Sector

As a Field Engineer on our federal AI projects, you'll work directly with our largest public sector customers to make sure their experience with Scale's technology is smooth and successful. You'll help these customers build production-grade data pipelines, working closely with our Product, Engineering, and Operations teams. This means learning each customer's use cases in depth and building the tools and documentation they need to grow.

The role sits at the intersection of customer delivery, product, and engineering. The ideal candidate is a generalist software engineer who enjoys working with clients, takes ambiguous problems and turns them into practical solutions, and collaborates closely with Product and Engineering along the way. An active TS/SCI clearance is required.

What You'Ll Do

Build end-to-end data integrations that sync customer data to and from Scale's platform Work with customers' engineering teams to optimize data pipelines, including input on API endpoint design and input/output schemas Design and maintain playbooks, internal tools, documentation, and SDKs that set customers up for long-term success Partner with engineers and Operations to resolve technical blockers, debug delivery issues, and own technical escalations from customers Own the customer's technical experience throughout their time with Scale Work with Account Executives and Product Managers to identify customer-specific feature requests Develop expertise in large language models, 2D image annotation, and API integrations Represent Scale and engage with customers at major events

What We'Re Looking For

Experience as a customer-facing engineer or in a similar hybrid role Hands-on technical experience working with clients in a pre- or post-sales capacity Development experience with Python, JavaScript, or other modern languages A strong engineering background, ideally in computer science, mathematics, or another quantitative field Strong project management and interpersonal skills The ability to present credibly to both executives and front-line engineers Comfort communicating across internal and external teams Intellectual curiosity, empathy, and the ability to move quickly

Nice To Have

Experience in AI Experience working in classified environments Prior experience as a technical go-to-market resource Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and CI/CD Hands-on experience with Kubernetes and Helm charts Experience automating infrastructure with Ansible or similar tools

Compensation

packages at Scale for eligible roles include base salary, equity, and

, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

Benefits

. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience,

including, but not limited to: comprehensive health, dental and vision coverage, retirement

, a learning and development stipend, and generous PTO.

such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC/Hawaii is: $180,550 — $226,550 USD The base salary range for this full-time position in the location of St. Louis/Suffolk is: $150,400 — $188,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.

Qualifications

, interview performance, and relevant education or training.