Product Manager Personalization and Recommendations

• You will immerse yourself in novel and challenging projects.
• You will drive your professional development through continuous training adapted to your needs and motivations.
• You will have measures oriented toward work-life balance. At Telefónica España, we promote flexibility and new ways of working, including schedules, working days, work-life balance measures, and a hybrid work model.
• We offer you a permanent contract and a very attractive remuneration.
• Life insurance, pension plan, and private medical insurance.
• You will be able to participate in our volunteering program.

Do you want to join a leading company in the technology industry?

We know you are looking for a change...

And that's why, at Telefónica España, we offer you the opportunity to join our team.

People eager to give their all and make a difference. Passionate about innovation and cutting-edge technologies.

With this opportunity, you will be able to delve into the exciting technological universe and be part of the change: a more connected, more human world full of stories that transform lives.

Your mission will be to lead the personalization layer of the video platform from a Product perspective, deciding what content each user sees, on which surface, and why.

You will translate recommendation and user knowledge capabilities into experiences that drive consumption, discovery, and retention across different markets.

You will govern end-to-end personalization, balancing algorithmic criteria with editorial, commercial, and rights priorities, and grounding decisions in experimentation and evidence.

• You will define and maintain the end-to-end personalization vision and roadmap, including profiles, initial taste onboarding, cold start resolution, recommendation, dynamic homepage sorting, coexistence between editorial and algorithmic rows, and content merchandising.
• You will prioritize the evolution of personalization based on its business impact.
• You will act as the Product point of reference for the Data and Algorithms teams.
• You will specify what each recommendation engine—whether content-based, collaborative, or hybrid—must optimize, which signals should be used, and how results will be evaluated, without assuming the development of the models or the data infrastructure.
• You will design and govern the experimentation framework, establishing hypotheses, A/B tests, decision criteria, and learning cycles.
• You will ensure a stable cadence of experiments and, with the same rigor, remove levers that do not provide demonstrable value.
• You will define, maintain, and defend the personalization metrics model before the Business, including discovery, depth of catalog consumed, CTR per surface, conversion to playback, and impact on retention.
• You will verifiably attribute the improvement obtained to each lever launched.
• You will balance algorithmic personalization with editorial, commercial, and rights priorities, arbitrating between the different areas.
• You will adapt the proposal to the particularities of each market, such as catalog, habits, and regulation, upon a common reusable core.
• You will write specifications and acceptance criteria.
• You will prioritize the backlog together with the technical teams and accompany the delivery until its production release.
• You will represent the personalization scope before Business, Content, Editorial, Marketing, and decision-making bodies, maintaining an evidence-based discourse.

WORK LOCATION: Madrid

WE WANT PEOPLE LIKE YOU...

DO YOU IDENTIFY WITH THIS? IT IS TIME TO TAKE THE LEAP!