Customer Success Engineer, Dataiku

Emerging Markets / LATAM

$120-160k

+ Stock options

SQL
Kubernetes
Python
R
Snowflake
Junior and Mid level
Remote in Canada, US
Dataiku

Collaborative data science platform

Open for applications

Meet the team
Dataiku

Collaborative data science platform

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

Open for applications

Meet the team

$120-160k

+ Stock options

SQL
Kubernetes
Python
R
Snowflake
Junior and Mid level
Remote in Canada, US

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

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

  • 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

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)
  • Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required)
  • Bonus: bilingual proficiency in Spanish and English

What the job involves

  • Delivering Customer Success is an important focus for Dataiku
  • As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI
  • In this technical and consultative customer-facing role, you’ll focus on creating technical programs 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 the East, 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%

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Insights

Top investors

39% female employees

9% employee growth in 12 months

Company

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. 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
  • Oppurtunities to grow: ➔ Attend weekly universities with internal and external speakers ➔ Grow their expertise with our dedicated sales, tech, and management enablement programs
  • ➔ We're 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

Funding (last 2 of 8 rounds)

Dec 2022

$200m

SERIES F

Aug 2021

$400m

SERIES E

Total funding: $845.6m

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.

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Steph

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