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# Product Marketing Manager

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/dataiku.md)Share24 Aug 2026Published33Listing views3Application actions23 Sep 2026Apply before  Opportunity details

## About this role.

AI SummaryDataiku 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

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a technically informed B2B PMM role spanning two established but complex product areas: analytics and MLOps. Success requires translating product capabilities and competitive evidence into differentiated narratives and field-ready assets across several stakeholder groups.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$125,000US market range$110k–$160k0$176k

AI insightThe disclosed US national base-pay range is $100,000–$150,000 USD per year, producing an offer median of $125,000. A competitive US market estimate for a mid-level B2B Product Marketing Manager with analytics and MLOps specialization is approximately $110,000–$160,000 annually; variable compensation and equity may be additional but are not quantified in the posting.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Product marketing](https://jobicy.com/jobs?search_keywords=Product%20marketing.md)[Go-to-market strategy](https://jobicy.com/jobs?search_keywords=Go-to-market%20strategy.md)[Positioning and messaging](https://jobicy.com/jobs?search_keywords=Positioning%20and%20messaging.md)[Analytics](https://jobicy.com/jobs?search_keywords=Analytics.md)[Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.md)[Competitive intelligence](https://jobicy.com/jobs?search_keywords=Competitive%20intelligence.md)[Sales enablement](https://jobicy.com/jobs?search_keywords=Sales%20enablement.md)[Product launches](https://jobicy.com/jobs?search_keywords=Product%20launches.md)

Sample interview questionsHow would you create a differentiated positioning strategy for Dataiku's visual analytics and data-preparation capabilities against legacy analytics tools?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.

Describe how you would launch an MLOps capability for both data-science leaders and ML platform teams.

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.

What is your process for turning monthly win/loss findings into useful sales enablement?

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.

How do you balance technical accuracy with accessible marketing language in analytics and ML messaging?

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.

Tell us about how you would measure the success of this product marketing role.

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](https://www.dataiku.com/?utm_source=newswire&utm_medium=press-release&utm_campaign=PlatformforAISuccess) 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](https://blog.dataiku.com/?_gl=1*17edvf4*_ga*MjA1Mjk5NzY4OC4xNjY3MjMyMDUz*_ga_B3YXRYMY48*MTY2OTA1MDY5NS4xMi4xLjE2NjkwNTA2OTguNTcuMC4w), [LinkedIn](https://www.linkedin.com/company/dataiku/), [X](https://x.com/dataiku), and [YouTube](https://www.youtube.com/dataiku).

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

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Position visual data prep, Flow, Stories, dashboards, and BI integrations

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Drive displacement narrative vs. legacy analytics tools

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Ship launch assets: pages, one-pagers, demos, sales talk tracks

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Maintain cadence with the Analytics product team

MLOps PMM

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Position AutoML, experiment tracking, deployment, monitoring, and CI/CD

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Build buyer narrative for DS leaders, ML platform teams, and practitioners

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Compete against full-lifecycle platforms and point solutions

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Translate productivity outcomes into proof points

Competitive Intelligence

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Own battlecard development and quarterly refreshes

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Run monthly win/loss analysis; turn insights into messaging and sales tools

Cross-functional

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Ladder Analytics & MLOps positioning to Dataiku’s category story

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Regular cadence with Sales, SE, and CS for field feedback

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Collaborate on integrated launches and analyst engagements

What we’re looking for

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4–6 years B2B PMM experience in analytics, BI, or ML

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Bachelor’s in marketing, business, CS, or related field

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Background with Tableau, Power BI, Looker, Alteryx, DataRobot, SageMaker, or similar a plus

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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](https://www.linkedin.com/company/dataiku/).

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](http://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.](https://www.dataiku.com/legal/dataiku-recruitment-scams/)

Show more

[Apply now >](https://jobicy.com/jobs/151480-product-marketing-manager-2.md)

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