Lead Product Manager

October 15, 2026

Hybrid

Lead

Paris

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English is required

Description

The company builds a manufacturing orchestration platform trusted by the world's most complex industrial operations, connecting fragmented supply chain, production, and quality data into a single live operational picture. AI agents anticipate disruptions, simulate recovery options, and keep teams aligned before small problems become expensive ones. Founded in 2019 and backed by General Catalyst, 83North and Serena, the business has raised $72M with 300% year-over-year revenue growth, deployed in 15+ countries. This is a rare chance to pioneer an agent-first product strategy for aerospace and manufacturing in Paris.

Responsibilities

Own the product vision and execution for autonomous AI agents — define agent architectures, multi-agent systems, and agentic workflows
Transform supply chain planning, inventory optimization, production scheduling, and MRO operations
Lead complex cross-functional AI initiatives — drive discovery of high-value use cases
Design agent personas and reasoning patterns
Pioneer agent-native UX paradigms including conversational interfaces and proactive recommendations
Collaborate cross-functionally with engineering, customer operations, sales, and enterprise customers to ensure AI features deliver measurable value and adoption at scale
Define the AI product vision and strategic roadmap with VP Product and engineering leadership
Balance innovation with enterprise deployment requirements around scalability, explainability, security, and compliance
Drive excellence in AI product development — from experimentation frameworks to deployment best practices
Champion data-driven decision making and rapid iteration to launch capabilities delivering 10x productivity improvements to enterprise customers

Requirements

5+ years in product management with 3+ years building AI/ML products
Hands-on experience with agentic AI systems, autonomous agents, or intelligent automation in Enterprise B2B SaaS
Strong technical acumen across agent architectures — multi-agent systems, LLM-based reasoning, tool use, RAG, RLHF, and safety mechanisms
Ability to collaborate effectively with ML engineers and data scientists
Proven track record shipping autonomous AI products to large enterprise customers
Experience navigating safety, compliance, auditability, and controlled autonomy requirements
Outstanding communication skills in English and French — articulate complex agentic AI concepts to executives, engineers, and end users
Active adoption of AI tools in daily work, curious about new ways of working smarter and faster
Hands-on experience with AI-assisted workflows for writing, research, analysis, coding, or productivity
Experience building agent-based products with frameworks like LangChain, AutoGPT, CrewAI, or custom agent architectures
Background in operations research, supply chain, manufacturing, or aerospace industries