Product Marketing Manager

Dataiku

4d

About The Position

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.

Requirements

• 4–6 years B2B PMM experience in analytics, BI, or ML
• Bachelor's in marketing, business, CS, or related field
• Strong storytelling, positioning, GTM strategy, sales enablement, and technical fluency in analytics/ML

Nice To Haves

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

Responsibilities

• 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
• 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
• Own battlecard development and quarterly refreshes
• Run monthly win/loss analysis; turn insights into messaging and sales tools
• 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

Benefits

• 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
• additional health and wellbeing perks and benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level