Product manager at Citibox

Building got cheap. Knowing what's worth building didn't. That's the part I'm good at.

See the journey

From writing code to deciding what's worth building.

At a glance

Computer engineer by training: six years of code, then six of product. At my best taking things from zero to one, growing them and changing how teams work. Product teams of more than ten people led so far, with AI in the loop every day to research, prototype and ship. Based in Zaragoza, Spain, happy working remote.

Product, from
the code up.

2014 → now

Before that

2014 – 2017Software developer

Neki, Apex44, Ibercivis

Three apps in real people's hands before graduating: wearables, physio clinics and citizen science.

2018 – 2020Product engineer

Frogtek

Corner-shop sales across Latin America, turned into dashboards for brands like Coca-Cola. $15K in its first month.

code
productMostly code
2020 – 2023Product makerProduct manager

Minimum.run

Ideas taken to live products for startups and corporates, from Iberia to Kpler.

Weeksfrom idea to live MVP, not quarters
code
productHalf and half
2023 – 2025Product manager

The Hotels Network

SafeDirect: travel insurance that gives guests a reason to book direct, plugged into insurers and PMSs. Plus AI content generation, and KITT, the first AI receptionist for hotels.

10xSafeDirect revenue in its first year, and +12% conversion for hotels
code
productProduct-led
Now, since 2025Product manager

Citibox

The product behind 5,000 pick-up stores. A 15-person team that works on metrics, not deadlines, with AI built into how we work.

500Kparcels a month across Spain and Portugal
code
productMostly product

How I work

Tools change.
Judgment compounds.

I use AI wherever it makes the work better, and nowhere just to say I do. What it can't replace is what years of shipping taught me.

I hand to AI

  • Research and synthesis
  • Prototypes and code
  • Crunching the data
  • First drafts of specs
  • Repetitive work

Stays with me

  • Which problem is worth solving
  • What users actually need
  • What to leave out
  • The quality bar
  • Getting the team behind it

My workspace

Meetings, tasks, data and specs, all in one repo with AI on top.

On the side

zgzbus

Zaragoza's transit data is public. A good app to read it wasn't, so I built one in a few weekends. AI wrote every line of code; every product decision, test and deploy was mine.

Available on iOS, Android and web

Try it on the web ↗
zgzbus: Plaza Paraíso stop selected on the map, with its next buses
zgzbus: favourite stops with live arrival times

How I can help.

Four things I do best

  1. For founders and new bets

    Taking ideas live

    From a rough idea to a product people actually use. Prototypes in days, and real users deciding what stays.

    Minimum.run, zgzbus

  2. For products with traction

    Growing what's already live

    Finding what moves conversion and revenue, testing it fast, scaling what works.

    SafeDirect: 10x revenue in its first year, +12% conversion

  3. For companies adding AI

    Bringing AI into products

    Where AI genuinely helps users, shipped and measured. In production, not in a demo.

    The Hotels Network: AI receptionist, AI content

  4. For teams that need focus

    Changing how teams work

    From shipping tasks to shipping results, with goals and metrics everyone can see.

    Citibox: 15 people now run on metrics

About

Raised between paper and pixels.

I grew up in my grandfather's print shop, watching my mum design on the first Macs. That's where I learned that things should work well and look good. I studied computer engineering, wrote code for six years, then moved into product to decide what's worth building.

Based in Zaragoza, SpainSpanish & EnglishOff screen: drums