Dataiku
Dataiku

Product Marketing Manager

$124,000 – $186,000 per year

TLDR

This role focuses on owning the go-to-market strategy for Dataiku's visual analytics and MLOps products while driving competitive analysis and market share growth.

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, 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
$124,000$186,000 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.

Dataiku builds a collaborative data science software platform designed for organizations eager to harness the power of AI. With its Universal AI Platform™, it enables teams at all skill levels to create analytics and models effectively, ensuring they can leverage existing data for meaningful insights.

Founded
Founded 2013
Employees
500+ employees
Industry
Internet Software & Services
Total raised
$850M raised
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