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Sr Technical Account Manager - East

dataiku United States, Remote


No Relocation

Posted: August 17, 2026

Job Description

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

  • 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

 

Additional Content

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

  • 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