At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

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
Native or bilingual proficiency in German
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
Final Interview with the VP Field Engineering

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 activityDataiku 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.