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About the Role
We are seeking a Product Marketing Manager to lead the positioning, launch, and adoption of Skore and the broader :probabl. portfolio among data scientists and ML engineering teams globally. This is a key role at a critical time in the evolving MLOps and agentic coding landscape.
Responsibilities
- Sharpen positioning and messaging for Skore, differentiating it from competitors like MLflow, Weights & Biases, and Neptune.
- Drive developer marketing through technical content creation, conference participation, and engagement with the scikit-learn community.
- Manage end-to-end go-to-market strategies for product releases and portfolio milestones.
- Scale the enterprise Design Partner Program by developing reference customers, case studies, and evidence.
- Maintain competitive intelligence on the MLOps and agentic data science market.
- Develop marketing narratives around regulatory trends to drive demand.
- Conduct customer and community research to ensure messaging resonates with data scientists.
- Create enablement materials for sales, employees, and partners on product value propositions.
- Provide content and messaging for marketing activities like campaigns, website updates, and events.
Requirements
- 4-7 years of product marketing experience in developer tools, ML/AI platforms, data infrastructure, or B2B software with an open-source focus.
- Technical fluency, including the ability to read Python and understand ML concepts.
- Understanding of open-source community dynamics and developer marketing principles.
- Strong writing skills with a portfolio of technical content.
- Proven experience managing product launches.
- Bilingual proficiency in English and French.
Skills
- Product Marketing
- Developer Marketing
- Technical Content Creation
- Go-to-Market Strategy
- Competitive Intelligence
- Community Engagement
- Sales Enablement
- Partner Enablement
- Python
- Machine Learning
- MLOps
Location
- Paris
- Remote
Work Type
- Hybrid
Experience Level
- Mid-level
Benefits
- Competitive compensation
- Conference and OSS contribution budget
About the Company
- We are the company stewarding scikit-learn, the world's most widely used machine learning library.
- Spun out of Inria and headquartered in Paris, we aim to keep open-source scientific Python central to Data Science and enterprise use.
- Our product portfolio includes Skore, an ML evaluation platform, and Skolar, an interactive learning tool for data scientists.
- We collaborate with the scikit-learn maintainer community and leading enterprise partners, operating at the intersection of open-source culture and enterprise ML.