Senior Technical Account Manager
Dataiku provides an enterprise AI platform for building, deploying, orchestrating, and governing analytics, machine learning, generative AI, and AI agents. Its customers include large organizations across financial services, life sciences, manufacturing, retail, energy, logistics, technology, and the public sector.
About Dataiku
Dataiku develops a unified enterprise AI platform that connects people, data, analytics, machine-learning models, large language models, and AI agents in a governed environment. Its offerings include AI-agent development and orchestration, centralized LLM management, AI governance, trusted analytics, machine-learning development and deployment, collaboration, monitoring, lineage, and risk controls. Dataiku serves enterprise business and technical teams, including organizations operating in complex and highly regulated industries.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will serve as a technical advisor for strategic clients, defining engagement priorities, managing milestones, tracking risks, and maintaining technical account information. You will support Dataiku architecture, deployment, operations, security, data management, compute resources, MLOps, monitoring, and troubleshooting. You will document processes, improve team scalability, capture feature requests, advise technology leaders, and support advanced use cases such as edge computing and deep learning.
Requirements
- 7+ years of experience in a customer-facing technical role
- Client-facing communication experience
- Experience working in pre-sales and post-sales
- Linux system administration experience including networking
- Experience with LDAP, Kerberos, Active Directory, and IAM
- Hands-on experience with AWS, Azure, and GCP
- Hands-on experience with Kubernetes setup, administration, troubleshooting, and tuning
- Experience with Hadoop and/or Spark setup, administration, troubleshooting, and tuning
- Experience with Python
- Some knowledge of Java
- Some knowledge of MLOps
Responsibilities
- Identify short- and long-term priorities with customers and the Customer Success team
- Define engagement plans
- Manage milestones and contribute to deliverables
- Provide status updates and mitigate issues and risks
- Centralize client technical information
- Contribute to account strategy
- Document processes and optimize team operations
- Upskill peers
- Advise customers on platform architecture, operations, security, data management, compute resources, MLOps, and monitoring
- Troubleshoot product implementations
- Record and communicate feature requests
- Advise client technology leaders on companion technologies and technical strategy
- Support advanced Dataiku use cases
Benefits
- Stock options
- Medical plans
- Dental plans
- Vision plans
- Flexible spending accounts
- Pre-tax commuter benefits
- 401k company match
- Paid vacations
- Sick leave
- Paid parental leave
- Employer-paid disability coverage
- Health and wellbeing perks and benefits
- Commission or other variable compensation
