IT Manager

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28 Locations
Remote
Machine Learning
The Role
About Comet

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI. 

Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you.

Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel).

Qualifications:

  • IT professional with 5+ years of hands-on experience in IT (systems and support) 
  • Worked with SAAS software in the past (single sign on, oauth2, email setup, g suite, jumpcloud, Rippling) 
  • Extensive knowledge of Windows, macOS and Linux environments and understand networking concepts
  • Proven experience in leading technical projects and device management solutions
  • Excellent verbal and written communication skills in English
  • Service-oriented team player

Responsibilities:

  • Be the front line of IT requests in the company
  • Take ownership of new vendors and purchases
  • Running regular checks on network and data security
  • Identifying and acting on opportunities to improve and update software and systems
  • Developing and implementing IT policy and best practice guides for the organization
  • Conducting regular system audits
  • Overseeing and determining time frames for major IT projects, including system updates, upgrades, migrations, and outages
  • Lead SOC-2 and ISO Process across the organization 
  • Support new employees with their equipment and software needs, including VPN access
  • Manage all internal apps, licenses and purchases
  • Manage all company laptops and devices

What We Offer:

  • Competitive salary, based on proven experience, skills and location
  • Competitive benefits package
  • Flexible working hours and remote work options
  • Opportunities for professional growth and development
  • A collaborative and innovative work environment
  • The chance to work with cutting-edge technologies and projects
  • This role will be fully remote in Europe, working with a global team (large presence in the US, Tel Aviv and Europe) – some flexibility with work hours is required



Comet is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.

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The Company
HQ: New York, NY
87 Employees
Year Founded: 2017

What We Do

Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can employ machine learning experiment tracking to track, compare, explain and reproduce their models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.

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