Field Engineer, Public Sector
Scale AI · Austin, TX; Colorado Springs, CO; St. Louis, MO; Washington, DC · Public Sector Engineering · listed July 22, 2026
The shape of it
Seniority
Not stated
Where
Hybrid
Stated pay
$180,550 – $226,550 USD
Requirements listed
5
Length
845 words
In the posting’s own words
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.
What it asks for · 5
- Development experience with Python, JavaScript, or other modern languages
- The ability to present credibly to both executives and front-line engineers
- Intellectual curiosity, empathy, and the ability to move quickly
- Experience in AI
- Hands-on experience with Kubernetes and Helm charts
Also a plus
- 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
What the job covers
- 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
Tools and skills named
Cloud & infra
- Ansible
- CI/CD
- Kubernetes
Data
- Data pipelines2×
Languages
- JavaScript
- Python
Ways of working
- Technical writing2×
Go to market
- Go-to-market
Models & research
- LLM
Operations & finance
- Project management
Words the posting leans on
- customers10×
- experience10×
- engineer5×
- engineering5×
- technical5×
- data4×
- product4×
- delivery3×
- tools3×
- api2×
- build2×
- clients2×
- closely2×
- data pipelines2×
- design2×
- documentation2×
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