Dataiku

Product Marketing Manager

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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

$100,000—$150,000 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.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Content Writing Data Analysis Human Resources Remote Collaboration Sales Mid level

Likely questions

  1. Tell us about work you have done that is close to the Product Marketing Manager role.
  2. How would you approach your first 30 days at Dataiku?
  3. Which of Content Writing, Data Analysis and Human Resources have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Content Writing, Data Analysis and Human Resources.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Product Marketing Manager role because I can bring practical experience in Content Writing, Data Analysis and Human Resources, learn the team quickly, and contribute to the outcomes Dataiku needs from this hire.

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