1st Product Manager (senior)
Le poste
Preferred Experience
Who you are
A doer. You know the product methodologies and you use them when they help, not by the book. Your instinct when something is slow is to fix it, not to schedule a workshop about it.
AI-pilled. You vibe code. You prototype before you write a spec. You design your own mockups. You are curious about how the models themselves are built and trained.
UX taste, ROI brain. Our workflows have to be brutally efficient. You judge a piece of software or a workflow by efficient it allows us to be or what value it brings to our customers.
You keep pace. Our engineers ship a lot. You turn that into something coherent rather than slowing it down.
7+ years in product, at least some of it technical: data, infra, ML, developer tools or ops platforms. Founders and first PMs who built the function from nothing are very welcome.
Fluent French and English. Our customers are American, our data partners spread worldwide, our team speaks both.
Based in Paris.
The extra that make the difference
- A research streak: you read papers, you have opinions on RL, you have trained or fine-tuned something.
Terms
Compensation: €70-90k + bonus, and 0.2% to 0.5% BSPCE depending on profile.
Location: Paris Morning Laffitte, on-site with 1 to 2 days WFH.
Start date: as soon as you can.
Perks: Alan health insurance, 50% Navigo.
Recruitment Process
Process
30 min with Grégoire (CPO): mutual fit, what you have actually shipped.
2h product case in house with Grégoire and Thomas: a live problem from our current pipeline.
60 min fit interview with 2 cofounders.
References.
We aim to go from first conversation to offer in under three weeks.
Additional Information
- Contract Type: Full-Time
- Start Date: 05 October 2026
- Location: Paris
- Occasional remote authorized
- Salary: between 70000€ and 90000€ / year
Ooak data
Ooak Data construit Alexandria, une bibliothèque de jeux de données représentant des workflows réels d'entreprises. La société acquiert des environnements de données complets, les anonymise et les structure afin qu'ils puissent servir à l'entraînement et à l'évaluation des agents d'intelligence artificielle.
L'objectif est de confronter les agents à la complexité des outils, documents et processus réellement utilisés par les entreprises, au-delà des benchmarks académiques. Ces environnements sont destinés aux laboratoires d'IA qui développent des modèles capables d'accomplir des tâches professionnelles concrètes.
Équipe
5 personnes
Ville
Paris