Sales Engineer, Dataiku
Germany
Collaborative data science platform
Be an early applicant
Collaborative data science platform
1001+ employees
Be an early applicant
1001+ employees
Company mission
To enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more.
Role
Who you are
- If you’re ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you
- Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems, with the confidence to ask deep questions to understand prospective customer’s current and desired future state
- Experience in technical pre-sales, preferably in a high-growth environment
- Experience in value orientated selling of product and platform solutions
- Experience in the data science, analytics, or big data markets preferred but not required
- Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc)
- Comfortability talking to all levels of customer teams from individual contributors to C-level executives
- Experience in Analytics/AI or other enterprise software
- Previously worked in a fast paced, growing company
What the job involves
- Together, we’ve built a team that has closed some of Dataiku’s most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success
- Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management
- Conduct Discovery meetings and learn from the customer and the BDR about the customer’s business requirements and technical environment
- Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer
- Use Dataiku to demonstrate the business value articulated in the usage scenarios
- Design and create Dataiku additional demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value
- Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer; lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors
- Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated or evaluated solutions
- Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management
- Provide regular updates on your activities to support accurate regional forecasting, participate in continuous development activities that expand or build on your knowledge and skills with new product releases, GTM programs and initiatives & relevant enablement sessions, participate in departmental activities like GTM or SE offsites
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
Some candidates hear
back within 2 weeks
39% female employees
9% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $845.7m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ A policy, unique to each team, that clarifies the status of each Dataiker based on preferred working styles: Office, Flex, SuperFlex, and Remote ➔ A work from 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. Weʼve 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
- Oppurtunities to grow: ➔ Attend weekly universities with internal and external speakers ➔ Grow their expertise with our dedicated sales, tech, and management enablement programs
- ➔ Weʼre one team, all shareholders. We offer equity to all employees
- ➔ Onsite meals and healthy snacks
- ➔ 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
Flatiron District, New York, NY
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.
Diversity, Equity & Inclusion at Dataiku
Laurie du Boullay (Head of Culture)
- 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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