Technical Account Manager

This is a fully remote position, open to applicants in France.

📋 Description

• Collaborate with clients and internal account teams to determine priorities and create engagement plans.

• Oversee project milestones alongside Customer Success Managers and clients.

• Contribute to deliverables, provide updates on progress, and identify as well as address issues and risks.

• Act as the primary contact for client technical information and assist in shaping account strategy.

• Support Field Engineering through documentation, process enhancements, and knowledge exchange.

• Counsel client teams on the Dataiku platform's architecture, deployment, operations, upgrades, usage, security, data management, compute resources, ML-Ops, monitoring, and scaling.

• Aid clients in product integration and resolve technical challenges.

• Gather client feedback and feature requests for Product and Engineering teams.

• Advise technology leaders at client organizations on complementary technologies and long-term technical strategies.

• Investigate and support advanced Dataiku use cases, including edge computing, deep learning, and MLOps.

• Complete the outlined hiring process, which includes a recruiter call, hiring manager interview, technical home assessment, assessment debrief, customer-facing situational peer interview, and final VP interview.

⛳️ Requirements

• A minimum of 7 years of experience in a customer-facing technical position.

• Professional proficiency in both French and English.

• Exceptional communication skills and the ability to build client relationships.

• Experience in supporting both pre-sales and post-sales engagements.

• Proficient in Linux system administration, including networking aspects.

• Familiarity with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM).

• Practical experience with cloud platforms such as AWS, Azure, and GCP.

• Hands-on experience within the Kubernetes ecosystem for setup, administration, troubleshooting, and optimization.

• Knowledge of the Hadoop and/or Spark ecosystems.

• Proficient in Python.

• Understanding of data science concepts.

• Basic knowledge of Java.

• Familiarity with ML-Ops practices and tools.

🏝️ Benefits

• Opportunities for personal growth.

• Equal opportunity employment practices.

• Support for reasonable accommodations.