AI Product Manager - Damage Detection & CV Platform

ACV; Île-de-France; On-site; EUR 70,000 - 110,000; Full time

Job summary

Monk AI, a division of Monk AI, is seeking a Product Manager to lead a key product team and drive cross-functional initiatives in a data-driven AI environment. The role involves shaping strategy, guiding a technical team, and coordinating with data scientists and engineers to deliver value.

You will collaborate with the tech lead on planning, specify feature requirements, and oversee QA and sprint rituals. A strong background in product management and hands-on data/AI exposure are essential for

Qualifications

• 3+ years of product management experience leading technical teams.
• Ability to lead a technical team and make calls without being domain expert.
• Experience with B2B / enterprise client relationships.
• Solid understanding of data/AI topics (computer vision a plus).
• Hands-on experience with Python, SQL, and big data queries.
• Comfortable with vibe coding and working with LLMs.
• Fluent English.

Responsibilities

• Drive product strategy and roadmap for their area of ownership.
• Take full ownership of a technical team product scope (developers, data scientists), with frequent involvement in other teams to help deliver cross-functional projects.
• Work hand-in-hand with the team's tech lead on planning and delivery management.
• Scope product evolutions with technical teams and translate needs into clear, testable specifications; prioritize features based on value and constraints.
• Own quality assurance and facilitate key product ceremonies (backlog grooming, sprint planning, reviews).
• Test new ideas by implementing quick POCs.

Skills

Product management

Technical leadership

B2B / enterprise

Data/AI knowledge

Python

SQL

LLMs

Fluent English

Tools

Big data tooling

Job description

Monk AI, a division of Monk AI, is seeking a Product Manager to lead a key product team and drive cross-functional initiatives in a data-driven AI environment. The role involves shaping strategy, guiding a technical team, and coordinating with data scientists and engineers to deliver value.

You will collaborate with the tech lead on planning, specify feature requirements, and oversee QA and sprint rituals. A strong background in product management and hands-on data/AI exposure are essential for