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DataikuTechnical Account Manager - UK
Dataiku, known for its AI success platform that assists enterprises in building, deploying, and governing artificial intelligence, is seeking a Technical Account Manager - UK .…
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About This Role
Dataiku, known for its AI success platform that assists enterprises in building, deploying, and governing artificial intelligence, is seeking a Technical Account Manager - UK . In this capacity, you will function as an experienced architect, balancing deep technical knowledge with interpersonal abilities to support a compact portfolio of roughly three strategic clients. You will navigate high-level discussions in the boardroom alongside hands-on configuration work on the command line, guiding…
Job Description
Dataiku, known for its AI success platform that assists enterprises in building, deploying, and governing artificial intelligence, is seeking a Technical Account Manager - UK. In this capacity, you will function as an experienced architect, balancing deep technical knowledge with interpersonal abilities to support a compact portfolio of roughly three strategic clients. You will navigate high-level discussions in the boardroom alongside hands-on configuration work on the command line, guiding accounts through deployment, scaling, and operational best practices.
This role suits professionals who excel at managing customer relationships while overseeing complex technical landscapes. Your daily responsibilities will include collaborating with account teams, charting engagement plans, monitoring project milestones, and delivering hands-on guidance for platform architecture, security, and machine learning operations. You will also help shape internal processes and contribute to field engineering documentation.
Dataiku operates as an equal opportunity employer committed to a fair recruitment environment based purely on business needs. Candidates must possess significant customer-facing technical experience, along with robust knowledge of Linux, cloud platforms, and Kubernetes. If you are ready to help organizations operationalize artificial intelligence and want to join a collaborative environment, this position offers an opportunity to shape the evolution of enterprise technology.
Responsibilities
- Partner with customers and internal teams to outline short and long-term engagement plans
- Track project milestones alongside Customer Success Managers and clients while mitigating risks
- Act as the primary technical advisor providing guidance and hands-on support for platform deployment and operations
- Assist clients with system integration, troubleshooting, and advanced use cases like MLOps and edge computing
- Gather client feedback to update Product and Engineering teams
- Advise technical leaders on long-term strategy and complementary technologies
Requirements
- Minimum of seven years of experience in a customer-facing technical role
- Native or bilingual proficiency in English
- Experience handling both pre-sales and post-sales engagements
- Proficiency in Linux system administration including networking
- Experience with identity and access management solutions such as LDAP, Kerberos, Active Directory, and IAM
- Practical experience with cloud platforms including AWS, Azure, and GCP
- Hands-on background with the Kubernetes ecosystem for setup, administration, and troubleshooting
- Familiarity with Hadoop or Spark ecosystems
Qualifications
- Experience utilizing Python
- Data science knowledge
- Basic knowledge of Java
- Familiarity with MLOps practices and tools
Core Skills
Frequently Asked Questions
What is the location and remote status for this position?
The source posting indicates the role is based in the UK and specifies an on-site work arrangement.
What is the employment type?
The position is full-time.
What salary is offered for this role?
The provided job posting does not specify a salary.
How many clients will a Technical Account Manager typically support?
A TAM typically supports a small portfolio of approximately three strategic clients.
What does the hiring process involve?
The hiring process consists of an initial recruiter call, a video call with the hiring manager, a home technical assessment, a debrief of that assessment with team members, a customer-facing situational peer interview, and a final interview with the VP of Field Engineering.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
