Description review

Sr Technical Account Manager - West

Dataiku · USA · back to the listing

HR standards

66/100

needs work

Title ↔ description

88/100

strong

Reads as

Customer Success Manager

96% confident

What this role officially is

client relations manager — ESCO, the EU occupation classification

Client relations managers act as the middle person between a company and its customers. They ensure that the customers are satisfied by providing them with guidance and explanation on their accounts and services received by the company. They also have possible other tasks such as developing plans or delivering proposals.

Also known as: customer service executive, client service manager, client relationship manager, customer service representative, consumer relations manager, client manager

How others title the same work

Large employers

  • Customer Solutions Manager, EDU & SLG Western Region - CSM Amazon.com
  • Technical Account Manager, Newspack Automattic
  • Customer Success - Team Manager Canonical
  • Enterprise Customer Success Manager (Japanese speaker) Canonical
  • Graduate Customer Success Manager Canonical

Startups

  • Manager / Director of Customer Success Craniometrix
  • Founding GTM - Deployment Strategist Credal.ai
  • Deployment Strategist (Munich Office) Dataleap
  • Founding Customer Success Manager Clicks Health
  • Founding Deployment Strategist Closure

What the listing never says

  • 25 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

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 are comfortable with a very client facing role and who dedicate themselves to a small set of strategic clients, (~4 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

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Work with the Customer Success team and customers to jointly identify near and longer-term priorities and define the associated engagement plan

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Manage milestones with Customer Success Manager and customer and contribute to deliverables, provide regular status updates and proactively identify and mitigate issues/risks

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Centralize the technical information about clients and take part to the account strategy and with the other members of the account team

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Play an active role contributing to the growth and scalability of the Field Engineering team through robust documentation, continuous process optimization, and peers upskilling

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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.

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Help clients troubleshoot the implementation of the product within their systems.

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Ensure that feature requests are effectively recorded and communicated to product and R&D

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Advise client tech leaders on choices around new companion technologies and tech strategies around Dataiku

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Support innovative approaches around Dataiku (edge computing, deep learning, advanced MLOps, for example)

What you'll need to be successful

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7+ years of experience in a customer facing technical role

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Comfort and confidence in client-facing interactions

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Ability to work both pre and post sale

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Strong Linux system administration experience including networking

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Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM

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Hands-on experience with cloud based services like AWS, Azure and GCP

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Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning

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Experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning

How you'll stand out

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Experience with Python

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Some knowledge of Java, nice to have

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Some knowledge in ML Ops

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

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Initial call with a member of our Technical Recruiting team

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Video call with the the USA TAM Director

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Technical Assessment to show your skills (Home Test)

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Debrief of your Tech Assessment with TAM Team members

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Final Interview with the Global VP of Field Engineering

Compensation and Benefits

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.

Dataiku also offers comprehensive benefits, including 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, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.

US only national base pay ranges

$150,000—$200,000 USD

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: [email protected]

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.

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 16 points (from 82 before penalties). Reviewed 21 Sep 2026.