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Technical Account Manager – UK

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Remote from
UK
Salary
Undisclosed
Employment
Full Time
Experience
Director
Published
Apply before
4 Nov 2026
Listing views
19
Application actions
0
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AI Summary

The role, at a glance.

This Technical Account Manager role supports a small portfolio of strategic Dataiku customers as a senior technical advisor and relationship owner. The position combines hands-on platform architecture, Linux and Kubernetes administration, cloud infrastructure, security, troubleshooting, and MLOps guidance. The TAM partners with Customer Success, Field Engineering, Product, and Engineering teams to manage technical milestones, risks, feedback, and long-term account strategy. Success requires strong executive-facing communication alongside the ability to work directly with customer administrators on complex deployments and operations.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior customer-facing architecture role requiring at least seven years of technical experience across cloud, Kubernetes, Linux, IAM, data platforms, and MLOps. It also demands independent judgment in high-stakes customer situations and effective communication from administrator to CTO level.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$155,000
US market range$130k–$190k
AI insightNo salary was disclosed in the posting. The figures are estimated annual USD base-pay benchmarks for a senior US Technical Account Manager with enterprise AI, cloud infrastructure, Kubernetes, and strategic-account responsibilities; actual UK compensation may differ materially by location, bonus structure, and equity.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you create a technical engagement plan for a newly assigned strategic customer?

I would begin with stakeholder discovery, an architecture review, and an assessment of business objectives, platform maturity, risks, and upcoming milestones. I would translate these findings into a jointly owned plan with prioritized outcomes, technical actions, owners, success measures, and a regular operating cadence.

Describe how you would troubleshoot a Dataiku deployment experiencing performance issues on Kubernetes.

I would first establish the user impact and recent changes, then review cluster capacity, pod health, resource requests and limits, logs, networking, storage, and relevant platform metrics. I would isolate the likely bottleneck, test a low-risk remediation where possible, communicate status and risk clearly, and document the root cause and preventive actions.

How do you communicate a complex technical risk to a customer CTO and to their platform administrator?

For a CTO, I would frame the risk in terms of business impact, likelihood, trade-offs, recommended decision, and timeline. For the administrator, I would provide the technical evidence, affected components, reproducible steps, and a precise remediation plan, while keeping both audiences aligned on ownership and progress.

What is your approach to advising customers on identity and access management for an enterprise AI platform?

I would review the existing identity provider, authentication flow, user and group model, least-privilege requirements, audit needs, and operational ownership. I would recommend an approach that integrates with tools such as LDAP, Kerberos, Active Directory, or cloud IAM while validating security, usability, and maintainability through testing and documentation.

Tell us how you would turn recurring customer issues into improvements for the wider Field Engineering team.

I would identify patterns across incidents, capture the technical context and resolution steps, and convert them into reusable runbooks, architecture guidance, or training. I would share prioritised feedback with Product and Engineering, track outcomes, and use the learnings to reduce recurrence across the customer portfolio.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack – empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their 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. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you’ll make an impact

  • Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
  • Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
  • Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
  • Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
  • Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
    • Dataiku platform architecture and deployment
    • Platform operations and upgrades
    • Best practices for platform usage
    • Security, data management, and compute resources
    • ML-Ops, monitoring, and scaling strategies
  • Assist clients in integrating the product into their systems and troubleshoot technical challenges
  • Capture client feedback and feature requests to inform the Product and Engineering teams
  • Advise client tech leaders on complementary technologies and long-term technical strategy.
  • Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

What you’ll need to be successful

  • 7+ years of experience in a customer-facing technical role
  • Native or bilingual proficiency in English
  • Strong communication and client relationship skills
  • Experience supporting both pre- and post-sales engagements
  • Proficiency in Linux system administration, including networking
  • Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
  • Hands-on experience with cloud platforms (AWS, Azure, GCP)
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
  • Familiarity with the Hadoop and/or Spark ecosystems

How you’ll stand out

  • Experience with Python
  • Data-Science knowledge
  • Basic knowledge of Java
  • Familiarity with ML-Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

  • Initial call with a member of our Technical Recruiting team
  • Video call with the TAM Hiring Manager
  • Technical Assessment to show your skills (Home Test)
  • Debrief of your Tech Assessment with TAM Team members
  • Customer-facing situational peer interview
  • Final Interview with the VP Field Engineering

#LI-JR1
#L1-AH1

What are you waiting for!

At Dataiku, you’ll be part of a journey to shape the ever-evolving world of AI. We’re not just building a product; we’re crafting the future of AI. If you’re ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can’t wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com


Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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