[Remote] Sr Technical Account Manager - East

Note: The job is a remote job and is open to candidates in USA. Dataiku is the Platform for AI Success, providing an enterprise environment for building, deploying, and governing analytics, machine learning, and AI agents. The Senior Technical Account Manager will support a small set of strategic clients by advising on Dataiku architecture and operations, managing technical account priorities, troubleshooting implementations, and contributing to Field Engineering scalability.

Responsibilities

• 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)

Skills

• 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
• Experience with Python
• Some knowledge of Java, nice to have
• Some knowledge in ML Ops

Benefits

• Commission or other variable compensation through Dataiku's incentive compensation program
• Stock options
• Medical, dental, and vision plans
• Flexible spending accounts
• Pre-tax commuter benefits
• A 401k company match
• Paid vacations and sick leave
• Paid parental leave
• Employer paid disability coverage
• Additional health and wellbeing perks and benefits

Company Overview

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