Scale AI, Inc.
Scale is a vital part of bringing AI‑enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world’s top self‑driving car and robotics ML teams as well as the largest companies in the generative AI space.
As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.
Our Field Engineers ensure customers’ experiences with Scale’s technology are seamless and optimized to build a successful, long‑term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production‑grade data pipelines. We do this by knowing our customer’s use‑cases inside and out, and creating the tooling and documentation needed to scalably support their growth.
Field Engineers in general are experts on Scale’s products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with.
The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!
You Will:
Implement end‑to‑end data integrations, syncing customer’s data to Scale’s platform and back
Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long‑term success
Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
Be accountable for the customer’s technical experience throughout their time with Scale
Work with AEs and PMs to identify customer‑specific feature requests
Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
Evangelize Scale and interact with customers at major events
Have an active TS/SCI clearance
Ideally You’d Have:
Track record of success as a hybrid customer‑facing engineer or similar function, wearing multiple hats along the way
Prior technical hands‑on experience working with clients in a pre or post‑sales capacity to realize business goals
Prior experience developing with Python and JavaScript, or other modern software languages
Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
Strong project management and interpersonal skills
Presentation skills with a high degree of technical credibility when speaking with executives and front‑line engineers
High level of comfort communicating effectively across internal and external organizations
Intellectual curiosity, empathy, and ability to operate with high velocity
Nice to Haves:
Experience in AI
Experience working in classified environments
Previous experience as a technical go‑to‑market resource
Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
Hands‑on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
Experience automating infrastructure and configuration management using Ansible or similar tools
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor’s Know Your Rights poster for additional information.
We comply with the United States Department of Labor’s Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.
Our Field Engineers ensure customers’ experiences with Scale’s technology are seamless and optimized to build a successful, long‑term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production‑grade data pipelines. We do this by knowing our customer’s use‑cases inside and out, and creating the tooling and documentation needed to scalably support their growth.
Field Engineers in general are experts on Scale’s products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with.
The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!
You Will:
Implement end‑to‑end data integrations, syncing customer’s data to Scale’s platform and back
Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long‑term success
Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
Be accountable for the customer’s technical experience throughout their time with Scale
Work with AEs and PMs to identify customer‑specific feature requests
Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
Evangelize Scale and interact with customers at major events
Have an active TS/SCI clearance
Ideally You’d Have:
Track record of success as a hybrid customer‑facing engineer or similar function, wearing multiple hats along the way
Prior technical hands‑on experience working with clients in a pre or post‑sales capacity to realize business goals
Prior experience developing with Python and JavaScript, or other modern software languages
Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
Strong project management and interpersonal skills
Presentation skills with a high degree of technical credibility when speaking with executives and front‑line engineers
High level of comfort communicating effectively across internal and external organizations
Intellectual curiosity, empathy, and ability to operate with high velocity
Nice to Haves:
Experience in AI
Experience working in classified environments
Previous experience as a technical go‑to‑market resource
Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
Hands‑on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
Experience automating infrastructure and configuration management using Ansible or similar tools
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor’s Know Your Rights poster for additional information.
We comply with the United States Department of Labor’s Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
#J-18808-Ljbffr