Technical Support Engineer, Dataiku
Dataiku is The Universal AI Platform™
Job no longer available
Dataiku is The Universal AI Platform™
1001+ employees
Job no longer available
1001+ employees
Company mission
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
Role
Who you are
- BS in an Engineering or advanced analytics field, or equivalent practical experience
- A strong competency in technical problem solving, with experience in working with advanced log analysis and various debugging techniques
- Working proficiency with Unix-based operating systems and general systems administration knowledge (i.e. command line interface, SSH, handling permissions, file limits, networking, resource utilization, etc.)
- Experience working with a programming language, preferably Python
- Experience working with at least one type of relational database and SQL
- At least 3-5 years of experience minimum in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product
- Technical understanding of the analytics and big data technologies (Hadoop, Spark, SQL databases and Data Warehouses)
- Excellent problem solving and analytical skills with an aptitude for learning new technologies
- Ability to be autonomous, resourceful, and a proactive self-starter, while also remaining process-oriented and a team player
- Strong communication skills and the ability to interface both with technical and non-technical individuals as needed
- Working knowledge of various cloud technologies (AWS, Azure, GCP, etc.)
Desirable
- Prior experience with and demonstrated interest in staying up to date on the latest data technologies (Python, R, Hadoop, Jupyter notebooks, Spark, H2O, Docker/Kubernetes, etc.)
- Hands-on experience with Python and/or R
- Experience working with various APIs
- Experience with authentication and authorization systems like LDAP, SAML, and Kerberos
- Some knowledge in data science and/or machine learning
What the job involves
- Providing technical solutions and responding to technical requests from customers through our different channels: mail, chat, web conference, and support portal
- Managing and resolving support issues with a high degree of technical complexity
- Acting as a liaison between clients and other Dataiku teams (Customer Success, Engineering, Data Science, etc.) to help deliver a fast and efficient resolution to issues or questions raised from various customers
- Improve efficiencies by documenting and standardizing support processes for our customers along with capturing/developing best practices
- Developing tools that will help in diagnosing, resolving or triaging hard-to-get-at problems as efficiently and promptly as possible
- Documenting knowledge in the form of incident notes, technical articles, and contributions to knowledge base or forums within specific areas of expertise
- Timely follow-up on customer commitments, effectively prioritizing process / product refinements; relaying lessons learned and feedback internally to our other client-facing and technical teams
Our take
Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.
Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.
In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $847.3m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost anywhere policy that allows employees to work from their place of choice up to four weeks per year.
- Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
- Building and supporting our community is at the heart of our values. We've developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company HQ
125 West 25th Street, 7th Floor, New York, NY 10001, USA
Leadership
Clément Stenac
(CTO)Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.
Florian Douetteau
(CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
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