Product Marketing Manager

Dataiku is hiring a Product Marketing Manager for a remote role open to applicants in United States. It pays $100k-$150k a year and Level rates it ; you can apply on Dataiku.

Level's read on this job

Works on AI ●●●○ is how Level rates this marketing role: the daily work is on AI products, without building the model.
This is listed as a remote role.
The posting mentions SageMaker, AI agents and MLOps among its tools and skills.
Level classes it as a mid-level role.
Dataiku has 12 other open roles on Level.

AI in this role

Drive go-to-market strategy and positioning for Dataiku's analytics and MLOps enterprise AI platform capabilities.

sagemaker

ai-agentsml-opsproduct-marketinggo-to-marketcompetitive-intelligencemlopsanalytics

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

#LI-JR1

#L1-AH1

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.

How we rate this

Product Marketing Manager at Dataiku rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Product Marketing Manager is an open job at Dataiku.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $100k-$150k a year.
The role is based in United States, Remote and is marked remote.
The job was posted on May 12, 2026.
Seniority: mid.
Applications are handled by Dataiku. Apply on Dataiku

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsML OpsProduct MarketingGo To MarketCompetitive IntelligenceMLOpsAnalyticsSageMaker

Also common in marketing jobs at this level

LLM Generative AI AWS Python SQL Databricks

Pay

This job starts at: $100k
Typical marketing job: $147k

This posting starts 32% below the typical marketing job. See marketing jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where product marketing was part of your work. What did you do?
Tell me about a project where go to market was part of your work. What did you do?
Tell me about a project where competitive intelligence was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, ML Ops, Product Marketing, Go To Market, and Competitive Intelligence. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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