7 months ago
Washington, DC, USAMid Level
H1B sponsor
Base Salary
$185k - $220k/yr
Responsibilities
- Become an expert on the end-to-end Scale product portfolio
- Create tailored demonstrations and collateral for federal stakeholders at executive and analyst levels
- Partner with Account Executives to deliver customer pilots against agreed requirements
- Integrate and ingest external datasets to address government use cases
- Understand customer pain points and design appropriate solutions
- Collaborate with product and engineering teams to convert customer requirements into Scale capabilities
- Learn public-sector mission sets and strategic objectives to better present Scale products
Requirements
- Strong engineering background, preferably in computer science, mathematics, or another quantitative field
- Strong communication skills with technical and non-technical customers
- Ability to learn new technology stacks quickly and troubleshoot effectively
- Previous experience working with public-sector customers, including National Security or Federal Civilian communities
- Proficiency in scripting or programming languages such as Python, JavaScript, TypeScript, or Bash
- Active U.S. government security clearance
- Based in the Washington, DC area or willing to relocate
- Background in AI/ML, particularly generative AI and large language models
Benefits
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous paid time off
- Potential commuter stipend
- Full-time position based in Washington, DC, or requiring relocation to the area
Tech Stack
Categories
Solutions Engineering
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.