Sr Technical Account Manager
About The Position
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube. 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.
Requirements
- 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
Nice To Haves
- Experience with Python
- Some knowledge of Java, nice to have
- Some knowledge in ML Ops
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)
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
