AI Product Manager

Product Management is our DNA. AI is what is currently changing the profession.

At Hubvisory, you don't just manage a backlog: you become the essential product reference to support our key accounts in the transformation of their digital products and organizations. This position adds a dimension: you steer products in which AI becomes a full-fledged functional building block, and you also use it to accelerate your own PM practice.

What you do concretely: You lead Discovery phases from end to end. User interviews, requirement scoping, personas, and benchmarks: you identify real problems to build the solutions that matter. And you know how to distinguish, among these problems, those that AI truly solves from those that it complicates.

You qualify AI use cases before building them. Feasibility, value, cost, available data, acceptable error risk: you investigate the subject with rigor. You carry the decision not to implement AI when it is not justified: that is also what maturity on the subject means.

You embed AI into the product, not alongside it. You work hand in hand with data scientists and AI engineers: defining what a "good" result is, confidence thresholds, fallback strategies when the model is wrong, interfaces that make uncertainty legible for the user, and feedback loops to progress over time.

You steer complex and interdependent product scopes. Business rules, states and transitions, consistency between several surfaces (internal interface and online customer journey), integration contracts with adjacent products: you maintain the overview and stabilize what must be stabilized, in ecosystems where your product is never alone.

You take charge of the data. You interpret insights yourself, you structure hypotheses, you measure to decide, not just to display. True data maturity is what distinguishes junior PMs from PMs who create value, and it is the foundation without which no AI product can stand.

You measure impact. You define and analyze KPIs and OKRs to ensure the product serves business objectives, while facilitating agile rituals to maintain exemplary team dynamics.

You participate in the life of Hubvisory. You consolidate your consultant posture, you share your feedback, and you evolve, according to your aspirations, towards Product Leader or Management Consultant roles.

Bonus: you have already equipped your own daily PM life with AI: writing and structuring specs, analyzing user interviews, data exploration, rapid prototyping? We love PMs who test, keep what works, and know how to say what doesn't work.

👉 Why join Hubvisory? Hubvisory is the only firm in France focused exclusively on Product Management and AI. No generalist data practice, no transformation consulting on all subjects. We do one thing, we do it well, and we do it with the best clients.

A tailor-made support journey. If you are a PO today and want to become a PM, we give you the means: mentorship, complex cases, structured feedback. Our collective rituals (Hub'Times) and our bi-annual salary reviews reward real progression, not seniority.

An engaged internal community: 20% of employees have voluntarily committed through more than 20 impact projects led since 2022 (skills sponsorship, organizing food drives, climate fresco, etc.)

Strong values: for 8 years, Hubvisory has grown around benevolence, meritocracy, ambition, expertise, and learning.

The package: €38,000-47,000 gross fixed, bi-annual reviews, profit sharing up to 22% of profits redistributed equally.

👉 The profile we are looking for You have at least 3 years of experience as a Product Manager on digital products. Or you are a Product Owner with a real desire to progress towards a complete Product Manager posture (discovery, strategy, impact steering).

You have worked on a product where AI was a real component (recommendation engine, classification model, assistant or agent, GenAI) and you can explain what the model did, what it did not do, and how you managed its errors from a product perspective. Failing that, you have a serious and demonstrable appetite: specialized training, side projects, active monitoring that you can talk about concretely.

You have sufficient technical culture to hold a conversation with data and tech profiles: you know what an LLM, a RAG approach, a database, and an API are. We are not asking you to code; we are asking you to never be a mere spectator of your product's technical choices.

You are comfortable with backlog management, roadmaps, and you possess a strong data culture. Your value orientation is your daily driver.

You know how to evolve in complex product environments, where several teams coordinate on overlapping scopes, and where business rules do not tolerate approximation.

A professional level of English is indispensable: our Lille-based clients steer products deployed internationally.

Three qualities that make the difference here: real operational autonomy, excellent client communication, and foolproof analytical rigor.

How does the recruitment process work? Step 1: Exchange with an HR professional to validate the alignment between your project and our model

Step 2: Validation of your hard skills with a practical case with a manager

Step 3: Validation of your soft skills with an interview with a VP

Step 4: Telephone exchange with an HR professional for the job offer

Whatever the outcome of your process, you will receive feedback from us within a maximum of 7 days! If you want more information about our recruitment process, we have written an article on our blog. Find Jobs in France on Arbeitnow