Job summary
Job post source
This job is directly from Scale AI
Job overview
The IT Support Engineer at Scale AI is responsible for managing and streamlining the company's technology infrastructure to support daily operations and growth.
Responsibilities and impact
The role involves onboarding and offboarding employees, providing IT support globally, maintaining office technology, managing IT assets, resolving issues via a ticketing system, and creating technology documentation.
Compensation and benefits
The position offers a base salary range of $84,000 to $105,000 depending on location and experience, equity compensation, comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and possibly a commuter stipend.
Experience and skills
Candidates should have 2+ years of corporate IT experience, expertise in Google Workspace, Slack, Zoom, Okta, Azure AD/M365, hardware and software troubleshooting, familiarity with MDM services like Jamf and Intune, experience supporting remote and global teams, and a security-focused mindset. Preferred skills include scripting, IT procurement, network infrastructure management, and ITSM frameworks.
Work environment and culture
Scale AI promotes an inclusive and equal opportunity workplace valuing diversity and providing accommodations for disabilities, with a fast-paced environment focused on innovation and AI development.
Company information
Scale AI is a leading company accelerating AI adoption across industries, trusted by major AI firms, government agencies, and enterprises, focused on transforming how AI applications are built and deployed.
Job location and travel
This role is 100% in-office at Scale AI's San Francisco headquarters.
Application process
Applicants must submit their applications according to the company's process, with a 90-day waiting period before reapplying for the same role; accommodations are available for disabilities.
Unique job features
The job offers the opportunity to work at the forefront of AI technology infrastructure supporting cutting-edge AI models and global teams, with equity compensation and comprehensive benefits.
Company overview
Scale AI is a technology company specializing in providing high-quality training data for AI applications. They generate revenue by offering data labeling services, leveraging a combination of machine learning and human intelligence to annotate data for clients in industries such as autonomous vehicles, e-commerce, and government. Founded in 2016 by Alexandr Wang and Lucy Guo, Scale AI has rapidly grown, securing significant funding and partnerships with major tech companies. Their mission is to accelerate the development of AI by making data labeling efficient and scalable.
How to land this job
Tailor your resume to emphasize your 2+ years of corporate IT experience, especially your expertise with Google Workspace, Slack, Zoom, Okta, and Azure AD/M365 administration, as these are critical for this role at Scale AI.
Highlight your hardware troubleshooting skills across Mac and Windows platforms, your familiarity with MDM services like Jamf and Intune, and your experience supporting remote teams globally using tools like Slack and Zoom.
Apply through multiple channels including Scale AI’s official careers page and LinkedIn to maximize your application’s visibility and ensure it reaches the right hiring managers.
Connect with IT and infrastructure team members at Scale AI on LinkedIn to learn more about the company culture and role expectations; open conversations with ice breakers such as commenting on Scale AI’s AI-driven mission or asking about their experience managing global IT infrastructure.
Optimize your resume for ATS by incorporating keywords from the job description such as 'IT asset management,' 'Jira Service Management,' 'Zoom admin console,' 'security and compliance,' and the specific tools mentioned to pass automated screening effectively.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your energy on interview preparation and skill sharpening.
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