[Remote] Senior Customer Success Engineer - Belgium at Dataiku

Belgium

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

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)
Never-ending intellectual curiosity, 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 an appreciation for engaging with audiences
Willingness to travel up to 25%

Responsibilities

Work closely with Dataiku’s customers, focusing on onboarding and 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 engagement 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

Skills

Key technologies and capabilities for this role

DataikuAI/MLGen AIbusiness analyticsproduct enablementdata sciencetechnical programmingworkshopsonboarding

Questions & Answers

Common questions about this position

What is the location for this Senior Customer Success Engineer role?

The role is based in Belgium as part of an exciting new team.

Is there a salary range or compensation details provided?

This information is not specified in the job description.

What education and experience are required for this position?

A Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field is required, along with a minimum of two years of experience in sales engineering, technical or solutions consulting.

What does the team structure look like for this role?

This role is within the Solutions Engineering team and partners closely with cross-functional teams including Account Executives, Sales Engineers, Professional Services, and Partners.

What travel is required in this job?

There is a willingness to travel up to 25% required.

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters

2013Year Founded

$823.3MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health, life & pension benefits

Equity

Time off for R&R

Public holidays

Work from anywhere policy (unique to team)

12 weeks of paid parental leave

Volunteering opportunities

Career Development opportunities

Technology stipend

Onsite meals & healthy snacks

Office happy hours

Company-wide events

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.

High costs of generative AI initiatives could strain client budgets.

Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.

The company integrates with AWS, enhancing connectivity and scalability for clients.

Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.

Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.

Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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