Product Marketing Manager

Job Overview

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.

Job Description

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 .

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.

Key Responsibilities

• Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI.
• The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
• 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.
• 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 #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.
• We're not just building a product; we're crafting the future of AI.

Required Skills and Qualifications

• 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 #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.
• If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Benefits and Perks

• 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 #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.
• 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.
• 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.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Dataiku is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.