Senior Customer Success Engineer - UK

Dataiku; United Kingdom; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading AI platform company in London seeks a Senior Customer Success Engineer. This role involves guiding customers in using Dataiku's platform, ensuring high adoption rates, and providing technical support and workshops. Candidates should have a bachelor’s degree in a relevant field and experience in customer success or data science. Strong communication skills and the ability to convey technical concepts are essential. Join a dynamic team and make a significant impact in the AI space.

Benefits

Flexible working hours

Professional development opportunities

Collaborative work environment

Qualifications

• 2+ years of experience in sales engineering, data science, or similar roles.
• Strong technical, analytical, and problem-solving skills.
• Ability to tailor messaging for technical and non-technical audiences.

Responsibilities

• Work closely with customers on onboarding, retention, and satisfaction.
• Educate customers on best practices within the Dataiku platform.
• Execute demonstrations and conduct hands-on workshops.

Skills

Technical programming

Customer success

High-impact communication

Data science skills

Analytical skills

Problem-solving skills

Education

Bachelor’s degree in Data Science or related field

Tools

SQL

Python

Kubernetes

Job description

Dataiku is The Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

We are looking for a Senior Customer Success Engineer to join us in London as part of an exciting new team. 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 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.

How you’ll make an impact:

• 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 touch points 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.
• Willingness to travel up to 25%.

What you’ll need to be successful:

• 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).

What will make you stand out:

• 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 all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment in 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).

#LI-Hybrid #LI-SC1

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page .

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [e-mail]

Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activityhere.

Create a Job Alert

Interested in building your career at Dataiku? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Preferred First Name

Email *

Phone *

Location (City) *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Are you currently an employee at Dataiku? * Select...

If you answer yes, your application will be automatically rejected and you'll be redirected to apply using your Dataiku email address via our internal career site.

Would you require a visa sponsorship or visa transfer for this opportunity? * Select...

What are your salary expectations? *

Are you located in or willing to relocate to this job posting's city? *

Where did you see or hear about this job? * Select...

Current Company

LinkedIn URL

Twitter URL

Github URL

Other URL

We invite you to complete this optional survey to help us evaluate our diversity and inclusion efforts. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment or affect your job application. Information obtained will be kept separate from your name or job application. This information will be kept secure and confidential and will be used solely to evaluate our diversity and inclusion efforts.