Product Manager (F/H)

October 20, 2026

Senior

Boulogne-Billancourt

Indeed

Keep in mind

Original vacancy is in French
You will likely need French for the job. The employer can confirm

Description

A French automobile club and mobility services company is hiring a Product Manager for the AI Assistant scope of its Premium tribe. The Assistant is meant to become the conversational entry point for members: a copilot that helps with vehicle use and all questions about the company's ecosystem. The PM owns this product end to end — vision, discovery, roadmap, delivery and outcomes — combining generative AI, business rules and guided flows with a trajectory toward agents. The role works daily with a Tech Lead, iOS and Android developers and a designer.

Gender markers in the title: (F/H)

In accordance with European anti-discrimination legislation, this job is open to all candidates

Ffemale

Hmale

Responsibilities

Define the vision and roadmap of the Assistant in line with the tribe's ambitions and the 2030 strategic plan
Run discovery: understand motorists' needs and pain points, identify the highest-value use cases, test fast and learn (test & learn)
Drive delivery with Tech teams: backlog, user stories, trade-offs, quality of deliverables and incident handling
Pilot AI quality: define how to measure answer relevance, track user feedback and iterate on prompts, knowledge sources and guardrails
Measure impact: define and track adoption, engagement and satisfaction KPIs and adjust the roadmap accordingly

Requirements

At least 5 years of experience in Product Management, ideally on a mobile B2C application
Solid command of product methods: discovery, prioritisation, data-driven approach, user interviews
Familiarity with key AI concepts (LLM, RAG, agents, evaluation, guardrails) and prior experience with generative AI-based products
Technical sensitivity: comfortable with APIs, modern architectures and mobile SDKs, able to challenge Tech teams
Rigor and analytical thinking: able to investigate root causes and rely on data
Collaboration and influence: able to engage tech, business and operational profiles and create alignment
Autonomy and pragmatism: advancing in test & learn in a changing environment