France Technical Account Manager — AI Platform & Strategy

Dataiku Inc.; Paris; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Dataiku is the Platform for AI Success and seeks a Technical Account Manager to support strategic clients with deep technical expertise and strong communication. You will be the primary technical advisor across Dataiku deployments, governance, and ML-Ops, guiding platform architecture and security considerations.

You’ll collaborate with customers and internal teams, manage milestones, and translate feedback into product improvements, with a hybrid work model and avenues for growth within Dataiku.

Qualifications

• 7+ years in a customer-facing technical role.
• Professional proficiency in French and English.
• Strong communication and client relationship skills.
• Experience supporting both pre- and post-sales engagements.
• Proficiency in Linux system administration, including networking.
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM).
• Hands-on experience with cloud platforms (AWS, Azure, GCP).
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning.
• Familiarity with the Hadoop and/or Spark ecosystems.

Responsibilities

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
• Dataiku platform architecture and deployment
• Platform operations and upgrades
• Best practices for platform usage
• Security, data management, and compute resources
• ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

Skills

Customer-facing

French

English

Linux administration

Cloud platforms

Kubernetes

Identity & access management

Networking

Tools

Kubernetes

Hadoop

Spark

Job description

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube .

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you'll make an impact

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
  • Dataiku platform architecture and deployment
  • Platform operations and upgrades
  • Best practices for platform usage
  • Security, data management, and compute resources
  • ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Professional proficiency in French and English
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Customer-facing situational peer interview
• Final Interview with the VP Field Engineering

#LI-JR1
#L1-AH1

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 activity here.

Create a Job Alert

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

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 currently living in Paris? If no, please specify your current location. *

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.

Select...

By checking this box, I agree to allow Dataiku to store and process my data for the purpose of considering my eligibility regarding my current application for employment. *

By checking this box, I agree to allow Dataiku to retain my data for future opportunities for employment for up to 720 days after the conclusion of consideration of my current application for employment.

By checking this box, I consent to Dataiku collecting, storing, and processing my responses to the demographic data surveys above. *