Posted:
10/4/2024, 10:47:49 AM
Location(s):
New York, New York, United States ⋅ New York, United States
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
IT & Security
Workplace Type:
Remote
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
Dataiku is looking for a full-time IT Support Technician to join the Information & Technology Team. IT Operations are critical to the success of Dataiku employees around the world. The IT Team is responsible for the systems, networks, and services that Dataiku employees rely on.
Dataiku's current IT Stack is a fast-moving modern and primarily Mac-based cloud-oriented environment: Google Workspace, Slack, Airtable,, Miro, Asana, Zoom video conferencing and associated devices, among others. The goal of the IT Support Team is to provide the best in class support to our employees worldwide based either in our global offices or working remotely in this tech environment.
As we scale quickly, you will join our IT Support Team to accompany Dataiku’s growth. You will report to the IT Support Team Lead for Americas and will work closely with the other IT Teams (Support, Automation and Operations & Security). This role is physically based in the New York City office but periodic travel to other office locations may be required.
In this role, you'll help the team:
Support employees in their daily IT requests.
Provide excellent IT onboarding experience to newcomers.
Manage AV setup & maintenance and event support
Purchase IT equipment for offices and employees.
Travel to satellite offices in the US and occasionally abroad to provide local support.
Contribute to maintenance and support of the global in-house IT infrastructure in the Dataiku offices.
Work with the Office Manager with Facility Management (e.g. climate control, special event planning, physical security etc).
Operate Inventory Management and Ticketing systems.
Participate in Documentation & Knowledge base.
You might be a good fit if you have:
Experience with 1st and 2nd line support.
Experience in support in a modern cloud-first IT Stack.
Experience in support for macOS
Practical AV/VC knowledge & experience
MDM knowledge (JAMF, Intune)
Good communication skills in English (French or another language is a +)
Good listening skills, and you know how to help people asking for your support.
You can organize work and set priorities.
You have an excellent sense of service and a positive mindset.
You have 1-3 years of experience in a similar position, ideally in an international and fast-growing environment.
You are proactive and can work independently when needed.
You are a problem solver.
You enjoy learning and applying knowledge to practical uses.
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Website: https://www.dataiku.com/
Headquarter Location: Paris, Ile-de-France, France
Employee Count: 501-1000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series F
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Big Data ⋅ Data Integration ⋅ Enterprise Software