Customer Success Engineer, Dataiku
Emerging Enterprise
$120-160k
+ Stock options
Collaborative data science platform
Job no longer available
Collaborative data science platform
1001+ employees
Job no longer available
$120-160k
+ Stock options
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
- Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field
- Minimum of two years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction
- Strong written and oral presentation skills, capable of engaging both business and technical stakeholders
- Strong technical, analytical, and problem-solving skills
- Experience in building and operating communities of practice
- Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes
- Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
- Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required)
Desirable
- Never-ending intellectual curiosity, are detail-oriented, and analytical
- Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
- Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership
- Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers
- Experience in Analytics/AI or other enterprise software (preferred but not required)
- Experience in technical pre-sales or post-sales, preferably in a high-growth environment (preferred but not required)
What the job involves
- As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s Emerging Enterprise customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI
- In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement
- You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value
- This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption
- Work closely with Dataiku’s customers in Emerging Enterprise, focusing on onboarding, increasing user adoption, retention, and satisfaction
- Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform
- Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services
- Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers
- Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate
- Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts
- Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers
- Document and share the adoption status and key information to inform internal forecasting and renewal
- Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly
- When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution
- Stay current on Dataiku’s products, competitive landscape, and data science trends
- Willingness to travel up to 25%
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: $846.3m
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 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.
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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