About this role.
Dataiku is seeking a Product Marketing Manager to lead go-to-market strategy for its Analytics and MLOps product surfaces. The role owns positioning, product launches, messaging, sales enablement assets, and competitive displacement narratives for enterprise analytics and machine-learning buyers. It also requires recurring competitive intelligence work, including battlecards, win/loss analysis, and deal-desk support. The PMM will partner closely with product, sales, solutions engineering, customer success, and analyst-relations stakeholders. Candidates need 4–6 years of B2B product marketing experience plus technical fluency in BI, analytics, and ML platforms.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
4/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would begin with customer research, field feedback, win/loss data, and a structured competitor comparison. I would convert the evidence into a concise narrative focused on buyer outcomes, such as governed self-service, reduced tool sprawl, and a path from preparation to production AI, then validate it through sales conversations and campaign performance.
I would segment the launch by audience and map each group's priorities, objections, and success metrics. The leader narrative would emphasize governance, scale, risk reduction, and productivity, while the practitioner and platform narrative would focus on experimentation, deployment, monitoring, CI/CD, and operational workflow; both would share consistent proof points and launch assets.
I would categorize findings by competitor, segment, use case, decision criteria, and objection theme, then identify repeatable patterns rather than isolated anecdotes. I would update battlecards, objection handling, discovery questions, and talk tracks, share the changes through enablement sessions, and measure adoption and impact in subsequent deal reviews.
I work closely with product managers and subject-matter experts to ensure claims are precise, then translate features into clear customer outcomes using plain language. I use layered messaging: an executive-level value proposition, supporting technical proof, and deeper documentation or demos for practitioners.
I would establish metrics across awareness, enablement, pipeline influence, competitive performance, and product adoption. Examples include asset adoption by the field, win rates against priority competitors, launch engagement, message recall, influenced pipeline, and usage or adoption signals for the relevant product capabilities.
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: reasonable-accommodations@dataiku.com
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.
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