IT Engineer

Posted 5 Days Ago
New York, NY, USA
In-Office
190K-300K Annually
Senior level
Artificial Intelligence • Information Technology
The Role
Serve as the primary onsite IT engineer for the New York office, handling employee support, onboarding/offboarding, Okta identity management, device fleet management (macOS/MDM), office networking/firewalls, A/V and physical security, Terraform/Git-based workflows for SaaS, vendor coordination, and cross-office collaboration with SF IT and Security teams.
Summary Generated by Built In

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. 

We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

About the Team

The IT team builds secure infrastructure and efficient processes that enable our employees to move quickly. We operate an all-Mac environment and use tools such as Okta, Google Workspace, and Kandji to support a rapidly growing workforce across multiple offices.

This role will serve as the primary IT partner for our New York employees and office. You will work closely with the IT and Security team in San Francisco to maintain consistent systems, security standards, and employee experiences across locations.

What You’ll Do
  • New York IT Support: Serve as the primary onsite IT resource for employees in our New York office, providing responsive support and resolving hardware, software, access, network, and workplace technology issues.
  • Employee Lifecycle Management: Own onboarding and offboarding for New York employees, including hardware procurement, device preparation, shipping logistics, account provisioning, and access changes.
  • Identity and Access Management: Administer Okta, including Single Sign-On, application integrations, provisioning, and access management for new and existing services.
  • Infrastructure as Code: Help manage Okta and other SaaS platforms through Terraform and Git-based workflows. Contribute to the team’s broader effort to manage corporate technology systems using repeatable, reviewable, and version-controlled processes.
  • Office Infrastructure and Security: Own the day-to-day operation of the New York office’s technology infrastructure, including ISPs, networking, firewalls, conference rooms, and physical security systems such as door access and cameras.
  • A/V and Events: Set up, maintain, and support conference room technology, hybrid meetings, and company-wide events such as All Hands meetings.
  • Device Fleet Management: Maintain and secure the company’s fleet of macOS devices using MDM, ensuring devices remain compliant, updated, and reliable.
  • Cross-Office Collaboration: Partner closely with the San Francisco IT and Security team on company-wide initiatives, incident response, standards, documentation, and infrastructure improvements.
  • Vendors and Projects: Coordinate with vendors, contractors, and building management on office technology installations, upgrades, and repairs.
Basic Qualifications
  • 5+ years of experience in IT engineering, systems administration, corporate IT, or a similar role.
  • Experience supporting employees and technology infrastructure in an onsite office environment.
  • Strong experience administering identity, SaaS, endpoint-management, and collaboration platforms.
  • Working knowledge of Git and version-controlled operational workflows.
  • Ability to independently own IT operations for the New York office while collaborating effectively with a distributed team.
  • Ability to work onsite Monday through Friday in our New York office.
  • Ability to travel to San Francisco for approximately one week each month.
Preferred Qualifications
  • SaaS Administration: Deep experience administering Google Workspace, Slack Enterprise, GitHub, and similar business platforms.
  • Identity and Security: Strong knowledge of Okta, SSO, application provisioning, access-management practices, and Zero Trust security principles.
  • Terraform and GitOps: Experience managing Okta or other SaaS platforms with Terraform. Familiarity with pull requests, code reviews, CI/CD, state management, and GitOps practices is strongly preferred.
  • Apple Device Management: Experience managing macOS devices through a modern MDM platform. Kandji experience is a plus.
  • Networking: Experience supporting office networks, wireless infrastructure, ISPs, firewalls, and related troubleshooting.
  • Physical Security: Familiarity with access-control and camera platforms such as Brivo.
  • Automation: Ability to automate operational processes using Python, Bash, APIs, or similar tools.
  • Project Leadership: Experience managing vendors and leading office technology projects, particularly those involving external contractors, office openings, or infrastructure upgrades.
  • Documentation: A track record of creating clear technical documentation, runbooks, and repeatable operational processes.
Logistics
  • Location: This role is based in New York, New York. 
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $190,000 - $300,000.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
  • As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

Skills Required

  • 5+ years of experience in IT engineering, systems administration, corporate IT, or similar role.
  • Experience supporting employees and technology infrastructure in an onsite office environment.
  • Strong experience administering identity, SaaS, endpoint-management, and collaboration platforms.
  • Working knowledge of Git and version-controlled operational workflows.
  • Ability to independently own IT operations for the New York office while collaborating with a distributed team.
  • Ability to work onsite Monday through Friday in New York.
  • Ability to travel to San Francisco for approximately one week each month.
  • Deep experience administering Google Workspace, Slack Enterprise, GitHub, and similar business platforms.
  • Strong knowledge of Okta, SSO, application provisioning, access-management practices, and Zero Trust principles.
  • Experience managing Okta or other SaaS platforms with Terraform and GitOps practices.
  • Experience managing macOS devices through a modern MDM platform (Kandji a plus).
  • Experience supporting office networks, wireless infrastructure, ISPs, and firewalls.
  • Familiarity with access-control and camera platforms such as Brivo.
  • Ability to automate operational processes using Python, Bash, APIs, or similar tools.
  • Experience managing vendors and leading office technology projects.
  • Track record of creating clear technical documentation, runbooks, and repeatable processes.
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The Company
HQ: Singapore
91 Employees

What We Do

Thinking Machines Lab is an artificial intelligence research and product company. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. While AI capabilities have advanced dramatically, key gaps remain. The scientific community's understanding of frontier AI systems lags behind rapidly advancing capabilities. Knowledge of how these systems are trained is concentrated within the top research labs, limiting both the public discourse on AI and people's abilities to use AI effectively. And, despite their potential, these systems remain difficult for people to customize to their specific needs and values. To bridge the gaps, we're building Thinking Machines Lab to make AI systems more widely understood, customizable and generally capable. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

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