Note: The job is a remote job and is open to candidates in USA. Dataiku is a platform for AI success that enables organizations to build, deploy, and govern analytics, machine learning, and AI agents. The Senior Technical Account Manager will serve as a technical advisor to strategic clients, managing account priorities, platform architecture, operations, troubleshooting, and technical strategy while supporting the growth of the Field Engineering team.
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)
Skills
- 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
- Experience with Python
- Some knowledge of Java, nice to have
- Some knowledge in ML Ops
Benefits
- Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
- 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
Company Overview
Company H1B Sponsorship