- 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
- 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
- The ability to present credibly to both executives and front-line engineers
- Intellectual curiosity, empathy, and the ability to move quickly
- Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and CI/CD
- 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:
The base salary range for this full-time position in the location of St. Louis/Suffolk is:
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This posting was published by Scale AI on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.