Product Manager, Document Intelligence

Paris, FranceOn-site

Responsibilities

Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration—balancing speed, quality, and user delight.
Champion the user: Partner with design and research to craft intuitive, high-impact experiences, using data and feedback to refine continuously. Scale & Execute
Align stakeholders: Rally engineering, design, and business teams around priorities, trade-offs, and timelines.

Spot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends in AI-driven productivity. Build & Ship
Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.
experience with a focus on building productivity-related products and/or enterprise-grade features (B2B/B2B2C) Problem-solving:
Experience solving hard problems in dynamic, competitive and ambiguous environments
AI/ML fluency: Hands-on
experience with generative AI, LLMs, or ML-driven products — you understand technical trade-offs and can partner effectively with engineering teams.
Growth mindset: Deep familiarity with product-led growth strategies (e.g., viral loops, onboarding optimization, monetization, AARRR, etc.).
Cross-functional influence: Proven ability to align and inspire engineering, design, and go-to-market teams without direct authority.
Communication: Crisp, persuasive storytelling for executives, teams, and users—whether in docs, decks, or whiteboard sessions.
AI product intuition: Hands-on
experience shipping generative AI consumer products — you’ve seen what works (and what doesn’t) beyond chatbots.

Set the vision: Shape and evangelize a compelling product strategy for prosumer and enterprise-grade AI tools, ensuring alignment with company goals and market opportunities.

Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets. Required
User obsession: Relentless focus on solving real user problems, backed by data and qualitative insights.
Pragmatism: Balance big-picture thinking with hands-on problem-solving — you’re equally comfortable crafting a roadmap and diving into metrics.
Adaptability: Thrive in high-velocity, dynamic settings where priorities shift quickly.
Collaboration: Low ego + high EQ — you build trust and drive decisions through clarity, not hierarchy.
Autonomy: Self-directed with a bias for action, you own outcomes end-to-end. Now, it would be ideal if you have:
experience — you’ve turned 0 → 1 ideas into products users love.
Technical depth: Ability to prototype, hack, or dive into code when needed (even if not a core responsibility).