Product Marketing Manager
Dataiku provides an enterprise AI platform for building, deploying, orchestrating, and governing analytics, machine learning, generative AI, and AI agents. Its customers include large organizations across financial services, life sciences, manufacturing, retail, energy, logistics, technology, and the public sector.
About Dataiku
Dataiku develops a unified enterprise AI platform that connects people, data, analytics, machine-learning models, large language models, and AI agents in a governed environment. Its offerings include AI-agent development and orchestration, centralized LLM management, AI governance, trusted analytics, machine-learning development and deployment, collaboration, monitoring, lineage, and risk controls. Dataiku serves enterprise business and technical teams, including organizations operating in complex and highly regulated industries.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own the go-to-market for Dataiku's Analytics and MLOps product surfaces, including visual analytics, data preparation, and the end-to-end machine learning lifecycle. Sharpen positioning, drive launches, grow market share, develop competitive battlecards, run win/loss analysis, and support competitive deal desks.
Requirements
- 4–6 years of B2B product marketing experience in analytics, BI, or ML
- Bachelor's degree in marketing, business, computer science, or a related field
- Strong storytelling, positioning, go-to-market strategy, sales enablement, and technical fluency in analytics and machine learning
- Background with Tableau, Power BI, Looker, Alteryx, DataRobot, SageMaker, or similar is a plus
Responsibilities
- Position visual data prep, Flow, Stories, dashboards, and BI integrations
- Drive displacement narratives versus legacy analytics tools
- Ship launch assets including pages, one-pagers, demos, and sales talk tracks
- Maintain cadence with the Analytics product team
- Position AutoML, experiment tracking, deployment, monitoring, and CI/CD
- Build buyer narratives for data science leaders, ML platform teams, and practitioners
- Compete against full-lifecycle platforms and point solutions
- Translate productivity outcomes into proof points
- Own battlecard development and quarterly refreshes
- Run monthly win/loss analysis and turn insights into messaging and sales tools
- Ladder Analytics and MLOps positioning to Dataiku's category story
- Maintain regular cadence with Sales, SE, and CS for field feedback
- Collaborate on integrated launches and analyst engagements
Benefits
- Stock options
- Medical, dental, and vision plans
- Flexible spending accounts
- Pre-tax commuter benefits
- 401k company match
- Paid vacations and sick leave
- Paid parental leave
- Employer-paid disability coverage
- Additional health and wellbeing perks
