Technical Support Engineer, Dataiku
$90-120k
+ Stock options
1-5 days a week in office
Collaborative data science platform
Be an early applicant
Collaborative data science platform
1001+ employees
Be an early applicant
$90-120k
+ Stock options
1-5 days a week in office
1001+ employees
Company mission
Dataiku enables data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI.
Role
Who you are
- Our ideal candidate is an autonomous individual who is passionate about getting big data and data science technologies working together to solve business problems, enthusiastic about helping our customers succeed with their use of Dataiku
- Furthermore, we are looking for someone who loves learning new cutting-edge technologies and is naturally driven to become an expert in their domain
- If you are interested in staying at the bleeding edge of big data and AI while also having the opportunity to join a rapidly growing global Support organization that’s looking to take its cloud and enterprise support capabilities to the next level (plus make an impact), this will be a great fit for you
- Experience engaging with end users and clients through a live chat or screenshare, providing technical and usage support for questions of varying difficulty
- Experience working with at least one type of relational database and SQL
- Ability to debug and read customer code (Python, SQL)
- Experience with python scripting and REST APIs
- Working knowledge of various cloud technologies (AWS, Azure, GCP, etc)
- Genuinely enjoy helping others and good at interpreting their requests
- Familiar with providing customer support in a SaaS/PaaS or fully managed context
- 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
- At least 3-4 years of experience in a client-facing technical role (e.g. support engineer, CSE, TAM, etc.), ideally involving a fully-managed SaaS offering
- Demonstrated experience working with and supporting advanced analytics, BI, or data science tools
What the job involves
- Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation
- We integrate the best of data and AI tech, selecting tools that truly enhance our product
- From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators
- Dataiku is looking for a Cloud Support Engineer to join its rapidly scaling global Support team, primarily focused on supporting our growing customer base for Dataiku Online, a fully managed version of our Everyday AI Platform, along with helping our Enterprise customers with their technical and usage related questions through live chat
- As a Cloud Support Engineer, you should be comfortable interfacing with end users through live chat and zoom, demonstrating excellent communication skills and proficiency in troubleshooting as you assist customers through a broad range of usage-related questions and/or technical issues with the platform
- Provide a best-in-class customer experience by providing accurate and timely responses, both in a live chat format and through traditional support channels
- Manage and resolve a variety of issues from advanced usage to technical issues
- Triage inbound conversations and reroute to other teams other as necessary
- Act as a liaison between our customers and other Dataiku teams (such as Engineering, Sales, Customer Success, etc.) to help deliver a fast and efficient resolution to issues or questions that have been raised by our end users
- Improve efficiencies by documenting new support processes and best practices
- Actively contribute to our Dataiku Community by engaging with end users, providing technical guidance, and answering questions about the product
Application process
- Initial call with a member of our Technical Recruiting team
- Video call with the Technical Support Manager
- Technical Assessment to show your skills (Home Test)
- Debrief of your Tech Assessment with Support Team member
- Final Interview with the VP Technical Support
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
Meet the team
Lyanna, Data Scientist
Insights
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $847.1m
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 values
- Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
- Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
- Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
- Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
- Dedication To Learning - We geek out with new technologies, learn from others everyday, and grow ourselves by helping others grow
- Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.
Company HQ
125 West 25th Street, 7th Floor, New York, NY 10001, USA
Articles
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.
Salary benchmarks
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Diversity, Equity & Inclusion at Dataiku
- Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.
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