Senior Product Owner

- Minimum 4 years as a Product Owner or Product Manager in B2B SaaS environments, preferably in operational or back-office management.

- Demonstrable experience working with development teams in agile methodologies: technical refinement, backlog grooming, and acceptance criteria.

- Ability to read and interpret code at a functional level: you do not need to be a developer, but you must understand what a component does, read logs with context, and communicate with a TechLead without an intermediary.

- Experience with Jira and Notion as standard work tools.

- Experience in the travel agency sector, B2B tourism, or booking platforms is valued.

Quadrant is a B2B SaaS for travel agencies, with three modules in production (QTC, QTH, QTM) and an actively growing customer base. The company is executing a complete reconstruction of the platform on a TypeScript monorepo with generative AI integrated as a development copilot.

The Senior PO joins at a key moment: the new platform already has code in staging and the cutover with the first pilot customer is being prepared. The role requires both solid product judgment and the real ability to work in an environment where AI is a daily work tool, not a concept.

- Manage the backlog of the assigned domain (Core / Verticals): refinement, prioritization, and maintenance of structured acceptance criteria (Given-When-Then).

- Write User Stories in Jira with sufficient technical context for the TechLead and the assigned developer, supported by an AI agent connected to the monorepo.

- Coordinate with UX the design → ticket sequence: no ticket affecting the interface enters development without prior validated design.

- Participate in technical refinement with the TechLead to validate feasibility and detect risks before they reach development.

- Keep functional domain documentation updated in the monorepo documentation system (PRODUCT.md, decisions/, templates/).

- Support the migration of current customers to the new system: functional communication, validation of equivalent behaviors, and product incident management.

- Contribute to the continuous improvement of the PO toolkit: ticket templates, reusable prompts, and documentation conventions.

- Rigor in documentation: write USs that do not need to be rewritten by the technical team.

- Autonomous prioritization judgment: knows how to say no, justify it, and stand by it.

- Direct communication with technical and business stakeholders without losing precision at either end.

- Orientation toward real delivery, not process: the goal is for functionality to reach production with quality.

Differentiating requirement: agentic AI environment

This position operates in an environment where the PO works with Claude Code as a copilot. This means:

- Refining tickets by directly consulting the monorepo code to understand the current state of the system.

- Detecting duplicates, contradictions, and risks in the backlog before they reach the technical team.

- Generating drafts of USs, acceptance criteria, and functional documentation with agent support, refining them with your own judgment.

- Maintain and improve the PO toolkit: the instructions, templates, and prompts that make the agent more useful over time. This includes the possibility of taking on the role of product manual curator - bi-weekly sessions with Claude to process candidate decisions, update PRODUCT.md, and maintain the team's decision history.

No formal prior experience with AI agents is required. However, a real willingness to incorporate them as a work tool and the ability to learn quickly in a demanding technical environment is required. The learning curve is short if the attitude is right.