Scale AI is seeking a highly capable IT Support Engineer to join our Public Sector IT team and deliver exceptional technical support across a secure, fast-paced environment. In this role, you’ll be the frontline expert helping employees stay productive, troubleshooting issues, resolving requests, and keeping our systems running smoothly with a strong security-first mindset. You’ll support day-to-day operations, assist with onboarding and offboarding, manage SaaS and endpoint configurations, and ensure employees have the tools and access they need to do their best work. As part of a small, high-impact team, you’ll also help improve processes, maintain clean documentation, and contribute to ensuring reliable technical infrastructure. If you thrive in a dynamic environment, enjoy solving problems, and take pride in delivering thoughtful, high-quality support, we’d love to have you on the team. The ideal candidate brings hands-on experience with modern SaaS tools, endpoint management, troubleshooting methodologies, and clear documentation practices paired with a strong customer-service mindset and a commitment to operating in a secure, mission-driven environment.
You will:- Onboard and offboard employees, which includes: leading new hire orientations, provisioning and deprovisioning hardware, accounts, and access
- Provide general IT support to all global Scale employees
- Maintain and provide technical assistance with all office technology (printers, Zoom Rooms, room schedulers, and more).
- Own IT asset management and ensure accurate and actionable records are kept of required equipment.
- Track, resolve, or dispatch all issues in our ticketing system (Jira Service Management).
- Create and update technology documentation for internal IT teams and for Scale employees.
- Must be willing to be in-office 100% of the time
- 2+ years of corporate IT experience.
- Experience in administrating Google Workspace, Slack, Zoom, Okta, Azure AD/M365
- Deep understanding of hardware and troubleshooting: hardware and software (Mac, Windows)
- Familiarity with MDM Services preferably Jamf and Intune
- Familiarity with Zoom Rooms and the Zoom admin console
- Experience working with remote teams and multiple offices globally, while using tools like Slack or Zoom to support them.
- Experience with GCC High and FedRamp environments
- Security and Compliance-focused mindset.
- Experience with compliance frameworks such as IL6, Fedramp High, NIST
- Skilled in scripting languages (e.g., PowerShell, Python) to automate repetitive IT tasks and improve process efficiency.
- Familiarity with ITSM frameworks
- Active Federal Top Secret Clearance
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
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 [email protected]. 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.
Top Skills
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
