AI Product Owner (M/F) - Internship - Paris

Since 2014, Wiremind has positioned itself as a tech company transforming the world of transport and events with a 360° approach combining UX, software, and AI.

Our expertise lies primarily in optimizing and distributing our clients' capacity. We work on various projects such as ticket forecasting and pricing, 3D optimization of air freight or scraping competitor prices. Our applications are the preferred tool of companies such as SNCF, United Airlines, Qatar Airways or even PSG to visualize, analyze and optimize their capacity.

Dynamic and ambitious, we strive to maintain our technical DNA which is the engine of our success. The company, profitable and self-financed since its creation in 2014, is mainly composed of engineers and experts and currently supports the growth of our business model based on "software-as-a-service" solutions.

Your missions 🚀

As an AI Product Owner Intern, you will contribute to the development of our AI-powered forecasting and optimization tools, which form a core part of our Revenue Management solution.

You will be part of the AI Product team and collaborate closely with the Data Science, Software and Software Product teams.

Your responsibilities will include:

• Analyse the optimization algorithm:

  • The optimization engine is complex, so we need to use all available optimization decision data to understand its overall behaviour, monitor it, and validate its performance.

  • Come up with new ways to monitor it: propose your own methods, tools and KPIs to measure how it performs

• Shape new features:

  • Test them before release, write tickets and work with the Data and ML teams to turn ideas into projects

• Be part of a product team:

  • Share your findings, take part in product discussions, and see your work used by real clients

Your profile 🔍

• You are pursuing a Master's degree in Engineering, Data Science, Applied Mathematics or Computer Science and looking for an internship

• You are comfortable with Python and SQL (pandas, notebooks); experience with ClickHouse or other analytical databases is a plus

• You have a good understanding of machine learning (forecasting, model evaluation) and ideally of optimization / operations research

• You are hands-on with LLMs and AI tools (coding agents, prompt engineering, LLM APIs), or eager to be

• You have a strong analytical mindset and a taste for explaining complex systems simply

• You are curious, self-motivated, and have high standards for the quality of your work

Our tech environment 🛠️

Machine Learning · Deep Learning · Time-series & demand forecasting · Linear Programming / Operations Research · Dynamic pricing & Revenue Management · LLMs & AI agents (Claude Code, MCP) · Python · SQL / ClickHouse · Model monitoring & MLOps · A/B testing · Data visualization

Our benefits 🤌

By joining us, you will integrate:

• A historically self-financed startup with a strong tech identity, which has just raised its first funds to accelerate its growth! 🧬

• Beautiful 800 m² offices in the heart of Paris (Bd Poissonnière) ✨

• Attractive remuneration 💪

• A caring and stimulating team that encourages skills development through initiative and autonomy

• AI in production, used by major transport operators, not on a side project 🤖

• Access to state-of-the-art AI tooling (LLM coding agents) from day one ⚡

You will also benefit from:

• 1 day of remote work per week

• Access to WellPass at a preferential rate to maintain your well-being 🏀

• A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)

Our Recruitment Process 🤞

1. An initial discussion with our Talent Acquisition Manager

2. An interview with the Hiring Manager

3. A technical test or case study to be prepared

4. A last interview at our offices to discuss your technical test or case study and meet with members of the team

Wiremind is committed to equality of opportunity, diversity, and fairness. We encourage all candidates with the necessary experience to apply for our job offers.