Description review

Product Marketing Manager

Dataiku · USA · back to the listing

HR standards

58/100

needs work

Title ↔ description

93/100

strong

Reads as

Marketing Manager

100% confident

What this role officially is

marketing manager — ESCO, the EU occupation classification

Marketing managers carry out the implementation of efforts related to the marketing operations in a company. They develop marketing strategies and plans by detailing cost and resources needed. They analyse the profitability of these plans, develop pricing strategies, and strive to raise awareness on products and companies among targeted customers.

Also known as: advertising sales manager, promotions manager, marketing executive, telemarketing manager, product marketing manager, market manager

How others title the same work

Large employers

  • Marketing Manager Canonical
  • Senior Marketing Automation Manager Canonical
  • Marketing Manager Canonical Ltd.
  • Senior Marketing Automation Manager Canonical Ltd.
  • Performance Marketing Manager, Global Coinbase

Startups

  • Head of Marketing BlueCargo
  • Growth & Marketing Lead Bluejay
  • Growth Marketer Callab AI
  • Experiential Marketing Coordinator Candid Health
  • Growth Lead Anglera

What the listing never says

  • 17 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

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.

As Product Marketing Manager for Analytics & MLOps, you will own the go-to-market for two of Dataiku's most established product surfaces: the visual analytics and data preparation capabilities that displace the competition’s legacy tools, and the end-to-end machine learning lifecycle.

Analytics and MLOps are the proven foundation of Dataiku's enterprise platform – the capabilities that hundreds of the world's largest companies use every day to put real models and analytics into production. Your job is to sharpen positioning, drive launches, and grow share in markets where Dataiku already wins. You'll also work with the PMM and competitive strategy teams to drive competitive battlecards, win/loss analysis, and competitive deal-desk support across Dataiku's major competitors.

Core Responsibilities

Analytics PMM

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Position visual data prep, Flow, Stories, dashboards, and BI integrations

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Drive displacement narrative vs. legacy analytics tools

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Ship launch assets: pages, one-pagers, demos, sales talk tracks

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Maintain cadence with the Analytics product team

MLOps PMM

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Position AutoML, experiment tracking, deployment, monitoring, and CI/CD

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Build buyer narrative for DS leaders, ML platform teams, and practitioners

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Compete against full-lifecycle platforms and point solutions

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Translate productivity outcomes into proof points

Competitive Intelligence

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Own battlecard development and quarterly refreshes

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Run monthly win/loss analysis; turn insights into messaging and sales tools

Cross-functional

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Ladder Analytics & MLOps positioning to Dataiku's category story

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Regular cadence with Sales, SE, and CS for field feedback

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Collaborate on integrated launches and analyst engagements

What we're looking for

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4–6 years B2B PMM experience in analytics, BI, or ML

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Bachelor's in marketing, business, CS, or related field

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Background with Tableau, Power BI, Looker, Alteryx, DataRobot, SageMaker, or similar a plus

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Strong storytelling, positioning, GTM strategy, sales enablement, and technical fluency in analytics/ML

#LI-LP1

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

$100,000—$150,000 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: 12 points (from 70 before penalties). Reviewed 21 Sep 2026.