Product Marketing Manager

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

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

• Drive displacement narrative vs. legacy analytics tools

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

• Maintain cadence with the Analytics product team

MLOps PMM

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

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

• Compete against full-lifecycle platforms and point solutions

• Translate productivity outcomes into proof points

Competitive Intelligence

• Own battlecard development and quarterly refreshes

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

Cross-functional

• Ladder Analytics & MLOps positioning to Dataiku's category story

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

• Collaborate on integrated launches and analyst engagements

What we're looking for

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

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

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

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

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