At Goodweek, we're building a next-generation AI tool designed to revolutionize
business productivity. We are focusing on delivering a secure, scalable, and
reliable system that supports real business use cases across different
departments. The goal is to make AI practical, controlled, and truly embedded in
how modern organizations operate.

Our team spans across France, Spain, and the United States, and our vision is
backed by 6 international investment funds.

To accelerate our growth, we're looking for a talented Software Engineer to join
our Engineering team and help us build an innovative product that will make a
real impact on how thousands of users work every day.

TASKS

About the role

As a Product Manager, you'll own a product area end to end: the customer segment
it serves, the business outcome it drives, and the path from a validated problem
to a shipped result with your squad. You'll set and maintain the roadmap for
your area together with the Head of Product, and you´ll keep stakeholders
aligned on the why behind what's next. We're in early-stage growth mode -




learning fast, testing assumptions, and scaling on what works. Priorities move
fast when we see a strong signal, and you'll help shape how we work as we grow.

What you'll do

* Shape the roadmap: contribute to the product vision with the Head of Product
and turn it into clear priorities for your scope.
* Run discovery before committing to a solution: interviews, user tests,
journey mapping, and data analysis.
* Define the outcomes and metrics that matter for your scope, and track them.
* Take features from idea to launch to iteration, and know when to sunset what
isn't working.
* Keep your squad's backlog, user stories, and rituals running so validated
work actually ships.
* Partner with Sales, Marketing, and Customer Success on customer needs and
go-to-market for what you ship.
* Communicate roadmap, progress, and decisions clearly to stakeholders, and to
customers or partners when relevant.

R

📌 Product Manager (Madrid)
🏢 Goodweek
📍 Madrid