Technical Account Manager
il y a 2 jours
- 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)
- 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
- Experience with Python
- Some knowledge of Java, nice to have
- Some knowledge in ML Ops
- Initial call with a member of our Technical Recruiting team
- Video call with the TAM Hiring Manager
- Technical Assessment to show your skills (Home Test)
- Debrief of your Tech Assessment with TAM Team members
- Final Interview with the VP Field Engineering
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