Product Marketing Manager (AI)

Location: Hybrid, hirify.global HQ Paris, France, with flexibility for remote work

Company

hirify.global is an Inria spin-off stewarding scikit-learn and developing open-source tools for the complete data science lifecycle, including Skore and Skolar.

What you will do

• Own positioning and messaging for Skore and the broader hirify.global portfolio, differentiating the products from MLflow, Weights & Biases, Neptune, and emerging agentic ML tools.
• Drive developer marketing through technical content, comparison guides, GitHub-native proof points, conferences, and the scikit-learn community.
• Lead end-to-end go-to-market for product releases and portfolio milestones, including narratives, assets, enablement, press, and partner coordination.
• Build a repeatable design partner program with Product and Sales, including reference customers, case studies, and an evidence base.
• Maintain competitive intelligence, battle cards, win/loss analysis, and differentiation across the MLOps and agentic data science landscape.
• Conduct customer and community research and create enablement materials and marketing content for Sales, employees, partners, campaigns, websites, and events.

Requirements

• 4–7 years of product marketing experience in developer tools, ML/AI platforms, data infrastructure, or open-source-led B2B software.
• Technical fluency with Python, Jupyter notebooks, train/test splits, and cross-validation, with the ability to communicate credibly with ML engineers.
• Understanding of open-source developer marketing based on contribution, transparency, and respect for practitioners.
• Strong portfolio of technical blog posts, launch narratives, or positioning work, with the ability to turn complex architecture documentation into clear messaging.
• Experience shipping meaningful product launches and demonstrating a launch playbook.
• Fluent English as the primary working language and comfort communicating in French.

Nice to have

• Experience marketing to data scientists, ML engineers, or quant teams.
• Familiarity with the scikit-learn and PyData ecosystems.
• Background or interest in MLOps, model evaluation, and experimentation.
• Hands-on experience with Claude Code or other coding agents.
• Experience building or contributing to an open-source community.
• A perspective on the agentic data science wave and the distinction between hype and practical value.

Culture & Benefits

• Work with the scikit-learn founding team and maintainers shaping the future of the library.
• Ownership over how hirify.global presents its products and value proposition.
• Hybrid work from the Paris office with flexibility for remote work.
• Conference and open-source contribution budget.
• Intellectually rigorous environment within an Inria spin-off.