Product Marketing Manager

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 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. 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 additional health and wellbeing perks and benefits US only national base pay ranges $100,000—$150,000 USD 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: View email address on click.appcast.io #J-18808-Ljbffr