AI Architecture Strategist
il y a 5 jours
About the Role
As an AI Architecture Strategist at Dataiku, you will be working closely with our customers to identify and define near and longer-term priorities for their Dataiku implementation. You will manage milestones and deliverables in collaboration with the Customer Success team and provide regular status updates while proactively identifying and mitigating issues and risks.
Your Impact
- You will centralize technical information about clients and contribute to the account strategy, working closely with the other members of the account team.
- You will play an active role contributing to the growth and scalability of the Field Engineering team through robust documentation, continuous process optimization, and peers upskilling.
- You will work with customer resources as a primary technical advisor, providing guidance and hands-on support on matters such as Dataiku platform architecture, platform operations, security, data management, compute resources, ML-Ops, monitoring, and troubleshooting.
About You
We are looking for a highly experienced Architect who is comfortable with a client-facing role and can dedicate themselves to a small set of strategic clients (~4 per TAM). You should be quick on your feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. You must be effective technically, both as a communicator and doer, and capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of your accounts.
Requirements
- 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
The Package
We offer a competitive salary of approximately $120,000 - $180,000, depending on experience, plus benefits and opportunities for professional growth and development.
