Description
As a Field Engineer on our federal AI projects, you'll work directly with our largest public sector customers to ensure a smooth experience with Scale's technology.
You'll help these customers build production-grade data pipelines, working closely with our Product, Engineering, and Operations teams.
This role sits at the intersection of customer delivery, product, and engineering.
Responsibilities
- 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
Requirements
- 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
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
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/scaleai/jobs/4717648005