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 are comfortable with a very client facing role and who dedicate themselves to a small set of strategic clients, (~4 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
- Work with the Customer Success team and customers to jointly identify near and longer-term priorities and define the associated engagement plan
- Manage milestones with Customer Success Manager and customer and contribute to deliverables, provide regular status updates and proactively identify and mitigate issues/risks
- Centralize the technical information about clients and take part to the account strategy and with the other members of the account team
- Play an active role contributing to the growth and scalability of the Field Engineering team through robust documentation, continuous process optimization, and peers upskilling
- Work with Customer resources as a primary technical advisor, providing guidance and hands-on support on the following matters: Dataiku platform architecture (initial deployment, expansions), platform operations (upgrades), best practice related to Dataiku usage, security, data management, compute resources, ML-Ops, Monitoring, etc.
- Help clients troubleshoot the implementation of the product within their systems.
- Ensure that feature requests are effectively recorded and communicated to product and R&D
- Advise client tech leaders on choices around new companion technologies and tech strategies around Dataiku
- Support innovative approaches around Dataiku (edge computing, deep learning, advanced MLOps, for example)
What you'll need to be successful
- 7+ years of experience in a customer facing technical role
- Native French speaker or bilingual
- Comfort and confidence in client-facing interactions
- Ability to work both pre and post sale
- Strong Linux system administration experience including networking
- Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
- Hands-on experience with cloud based services like AWS, Azure and GCP
- Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
- Experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning
How you'll stand out
- Experience with Python
- Some knowledge of Java, nice to have
- Some knowledge in ML Ops
What does the hiring process look like? #LI-Remote #LI-AN1
- Initial call with a member of our Technical Recruiting team
- Video call with the the USA TAM Director
- Technical Assessment to show your skills (Home Test)
- Debrief of your Tech Assessment with TAM Team members
- Final Interview with the Global VP of 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 
