Senior Technical Account Manager West
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.
Maintainer signals as of 8/29/2026
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 advise a small set of strategic customers on platform architecture operations security data management compute resources and machine learning operations. You will manage milestones and risks troubleshoot implementations document technical information communicate feature requests and guide technology decisions with client leaders.
Requirements
- 7+ years of experience in a customer-facing technical role
- Comfort and confidence in client-facing interactions
- Ability to work both pre-sale and post-sale
- Strong Linux system administration experience including networking
- Experience with LDAP Kerberos Active Directory and IAM
- Hands-on experience with AWS Azure and GCP cloud services
- Hands-on Kubernetes setup administration troubleshooting and tuning experience
- Experience with Hadoop or Spark setup administration troubleshooting and tuning
- Python experience is preferred
- Knowledge of Java is a nice-to-have
- Knowledge of machine learning operations is a nice-to-have
Responsibilities
- Identify customer priorities and define engagement plans
- Manage milestones deliverables status updates risks and issues
- Centralize client technical information and contribute to account strategy
- Document processes optimize workflows and upskill peers
- Advise customers on platform architecture deployment expansion and upgrades
- Guide best practices security data management compute resources machine learning operations and monitoring
- Troubleshoot product implementations in customer systems
- Record and communicate feature requests to product and research teams
- Advise client technology leaders on companion technologies and technical strategy
- Support edge computing deep learning and advanced machine learning operations
Benefits
- Stock options
- Medical dental and vision plans
- Flexible spending accounts
- Pre-tax commuter benefits
- 401k company match
- Paid vacations and sick leave
- Paid parental leave
- Employer-paid disability coverage
- Health and wellbeing perks and benefits
Hiring Process
Initial call with Technical Recruiting; video call with the USA TAM Director; technical assessment home test; assessment debrief with TAM team members; final interview with the Global VP of Field Engineering.
