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.
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 youll 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 youll need to be successful
7 years of experience in a customer-facing technical role
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 youll 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 Director
Technical Assessment to show your skills (Home Test)
Debrief of your Tech Assessment with TAM Team members
Customer facing scenario Assessment with TAM Team members
Final Interview with the VP Field Engineering
What are you waiting for!
At Dataiku youll be part of a journey to shape the ever-evolving world of AI. Were not just building a product; were crafting the future of AI. If youre ready to make a significant impact in a company that values innovation collaboration and your personal growth we cant wait to welcome you to Dataiku! And if youd 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 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:
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.
Required Experience:
Manager
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 usi...
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.
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 youll 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 youll need to be successful
7 years of experience in a customer-facing technical role
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 youll 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 Director
Technical Assessment to show your skills (Home Test)
Debrief of your Tech Assessment with TAM Team members
Customer facing scenario Assessment with TAM Team members
Final Interview with the VP Field Engineering
What are you waiting for!
At Dataiku youll be part of a journey to shape the ever-evolving world of AI. Were not just building a product; were crafting the future of AI. If youre ready to make a significant impact in a company that values innovation collaboration and your personal growth we cant wait to welcome you to Dataiku! And if youd 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 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:
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.
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