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Technical Account Manager – France

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Remote from
France
Salary
Undisclosed
Employment
Full Time
Experience
Director
Published
Apply before
4 Nov 2026
Listing views
18
Application actions
2
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AI Summary

The role, at a glance.

Dataiku seeks a senior Technical Account Manager to support a small portfolio of strategic enterprise customers in France. The role combines customer success, technical architecture, project coordination, and hands-on troubleshooting across Dataiku deployments. The TAM will advise technical leaders on cloud, Kubernetes, security, platform operations, MLOps, and scalable AI use cases. Success requires at least seven years in customer-facing technical roles, professional French and English, and strong stakeholder-management capability.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, high-accountability customer-facing role requiring broad infrastructure and AI-platform expertise alongside executive-level communication. The TAM must independently navigate production issues, competing customer priorities, technical strategy, and cross-functional account coordination.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$150,000
US market range$125k–$180k
AI insightNo salary was disclosed in the posting. The figures are estimated US-market annual base-salary benchmarks in USD for a senior Technical Account Manager with cloud, Kubernetes, enterprise AI/ML, and strategic-account responsibilities; actual compensation in France may differ materially and may include variable pay or equity.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe how you would create a technical engagement plan for a new strategic customer.

I would begin with discovery across business objectives, platform architecture, operating model, risks, and success metrics. I would then align the customer and internal account team on prioritized milestones, owners, communication cadence, and an escalation path, revisiting the plan regularly as adoption evolves.

How would you troubleshoot a Dataiku deployment experiencing instability on Kubernetes?

I would first assess business impact and stabilize critical workloads. I would review cluster health, pod events, resource requests and limits, logs, networking, storage, ingress, authentication dependencies, and recent changes, then coordinate a root-cause analysis and document preventive actions.

How do you communicate a technical risk to a customer CTO and their platform administrators?

I tailor the message to each audience while keeping the facts consistent. For leadership, I explain impact, likelihood, options, and the decision required; for administrators, I provide evidence, technical detail, remediation steps, ownership, and timing.

What is your approach to advising a customer on MLOps and model-monitoring practices?

I start by understanding the model lifecycle, data sources, deployment process, governance requirements, and operational ownership. I then recommend pragmatic controls for reproducibility, approval workflows, observability, drift monitoring, retraining criteria, and scalable deployment aligned to the customer's maturity.

Tell us about handling a difficult customer situation involving a production technical issue.

I would acknowledge the impact, establish a clear incident cadence, and ensure the customer has a single accountable technical contact. While coordinating investigation and mitigation internally, I would provide transparent updates, avoid speculation, confirm recovery, and lead a retrospective focused on preventing recurrence.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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: reasonable-accommodations@dataiku.com


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.

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