# Technical Account Manager

**Company:** [Dataiku](https://hotfix.jobs/companies/dataiku)
**Location:** London, United Kingdom
**Role:** Customer Success
**Experience:** 7+ years
**Skills:** Linux, Networking, Ldap, Kerberos, Active Directory, IAM, AWS, Azure, GCP, Kubernetes, Hadoop, Spark, Python, Java, MLOps
**Posted:** 2026-08-27

> Technical Account Manager serving strategic clients as a hands-on technical advisor and relationship manager. The role requires 7+ years in customer-facing technical work, cloud and Kubernetes expertise, Linux administration, and strong pre- and post-sales communication skills.

## Job Description

## Responsibilities
- Collaborate with customers and internal account teams to identify priorities and develop engagement plans.
- Manage project milestones with Customer Success Managers and clients; contribute to deliverables, provide status updates, and mitigate risks.
- Serve as the central source of client technical information and contribute to account strategy.
- Support Field Engineering through documentation, process improvements, and knowledge sharing.
- Advise client teams and provide hands-on support for platform architecture, deployment, operations, upgrades, usage best practices, security, data management, compute resources, MLOps, monitoring, and scaling.
- Assist with system integrations and troubleshoot technical challenges.
- Capture customer feedback and feature requests for Product and Engineering teams.
- Advise technology leaders on complementary technologies and long-term technical strategy.
- Support advanced use cases involving edge computing, deep learning, and MLOps.

## Requirements
- 7+ years of experience in a customer-facing technical role.
- Native or bilingual English proficiency.
- Strong communication and client relationship skills.
- Experience with both pre-sales and post-sales engagements.
- Proficiency in Linux system administration, including networking.
- Experience with identity and access management tools such as LDAP, Kerberos, Active Directory, and IAM.
- Hands-on experience with AWS, Azure, or Google Cloud.
- Hands-on Kubernetes experience, including setup, administration, troubleshooting, and tuning.
- Familiarity with Hadoop and/or Spark.

## Nice-to-haves
- Python experience.
- Data science knowledge.
- Basic Java knowledge.
- Familiarity with MLOps practices and tools.

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