Paris-Based PM, Data & AI for Community Platforms

Alumnforce - Alumni Students Success Platform; Paris; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Alumnforce - Alumni Students Success Platform is seeking a Product Manager Data & AI to define and implement data-driven features for the platform. This full-time, hybrid role is based in Paris, with some flexibility for remote work, and requires collaboration across engineering, design and customer-facing teams to translate user needs into clear product requirements.

You will analyze usage data, explore personalization and recommendation ideas, validate hypotheses through experiments, and drive

Qualifications

• University degree in business, engineering, computer science, data, or related field.
• Strong product management with roadmap ownership and clear specs.
• Experience with data analytics and AI topics, metrics, and ML concepts.
• Cross-functional collaboration with engineering, design, sales and customer success.
• Proficiency with SQL basics and analytics dashboards; user research methods.
• Excellent English; French is a strong asset for local collaboration.

Responsibilities

• Lead definition and implementation of data-driven and AI-powered features.
• Analyze usage data and identify opportunities for personalization and recommendations.
• Collaborate with engineering, design and customer-facing teams to translate needs into requirements.
• Write clear specifications and coordinate delivery with technical teams.
• Monitor performance, iterate based on measurable outcomes, and ensure high-quality releases.

Skills

Roadmap ownership

Stakeholder collaboration

Functional/technical specifications

Data analytics knowledge

AI/machine learning concepts

Cross-functional teamwork

English communication

Education

Bachelor's degree or equivalent in Business/Engineering/CS/Data

Tools

SQL basics

Analytics dashboards

User research tools

Job description

Alumnforce - Alumni Students Success Platform is seeking a Product Manager Data & AI to define and implement data-driven features for the platform. This full-time, hybrid role is based in Paris, with some flexibility for remote work, and requires collaboration across engineering, design and customer-facing teams to translate user needs into clear product requirements.

You will analyze usage data, explore personalization and recommendation ideas, validate hypotheses through experiments, and drive