• Partner directly with enterprise customers to deeply understand their workflows, challenges, and goals. • Translate complex customer needs into clear, structured AI solution plans using Unframe’s platform. • Own end-to-end delivery of AI-powered projects alongside engineers and AI specialists. • Write detailed product specs and define prompt/context structures that drive solution behavior. • Balance speed, scalability, stability, and customer impact when making product decisions. • Identify repeatable patterns and collaborate with the Platform team to improve and scale reusable capabilities. • Act as the voice of the user throughout the entire product lifecycle.

• Partner directly with enterprise customers to deeply understand their workflows, challenges, and goals. • Translate complex customer needs into clear, structured AI solution plans using Unframe’s platform. • Own end-to-end delivery of AI-powered projects alongside engineers and AI specialists. • Write detailed product specs and define prompt/context structures that drive solution behavior. • Balance speed, scalability, stability, and customer impact when making product decisions. • Identify repeatable patterns and collaborate with the Platform team to improve and scale reusable capabilities. • Act as the voice of the user throughout the entire product lifecycle.

• Own an AI agent end-to-end: Drive the full lifecycle — discovery, prioritization, spec, delivery, iteration — for 1–2 agents at a time, from first hypothesis to live product. • Set and hold the delivery cadence: Define what "done" looks like, track progress, and unblock the team — without waiting for someone else to push. • Talk to users, constantly: Regular user calls are non-negotiable. • Partner with domain experts: Work with cross-functional teams (e.g., Financing for banking agents) to acquire the context and co-define features. • Help scale agent practices: Contribute to the patterns, handover models, and playbooks that will eventually let AI agents live across Qonto's product organization.

• Lead a team of Product Managers working on complex, high-impact AI solutions for enterprise customers • Work closely with customers to find the right problem to solve (the use case with the clearest ROI) and define the success metrics before building • Operate in high ambiguity, shaping opportunities where requirements are not clearly defined • Drive the delivery of new solutions from early stages to production, making key product and trade-off decisions across speed, stability, and scope • Own a portfolio of solutions across one or more enterprise customers, setting priorities across multiple parallel engagements • Support your PMs in the day-to-day of running their solutions across different customers: help them prioritize, make trade-offs, and unblock them so product implementations and solutions push forward • Balance speed of execution with long-term quality, reuse, and product thinking • Identify patterns across solutions and push for reuse and productization, working closely with the Platform team • Mentor and develop your PMs, growing their product judgment and helping them operate effectively in a fast-paced, ambiguous environment