Product manager

Telgea; Barcelona; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

Telgea, based in Barcelona, is building AI-native product engineering within a multinational mobile plan context. As a Product Engineer, you own projects from scope through production, shaping solutions that integrate with the core platform.

You will collaborate with product managers turned engineers, use AI coding tools for rapid delivery, ensure security and performance, and travel to the Norrsken House office at least 3 days a week.

Formación

• 3+ years as a full stack engineer.
• 1+ years in product management ownership.
• Strong system design, APIs, and data modeling.
• Excellent code review skills and security awareness.
• Experience with AI development tools.

Responsabilidades

• Own projects end to end from scope to production.
• Translate customer and partner requirements into technical plans.
• Use AI coding tools for implementation.
• Review and validate code for security, performance, maintainability.
• Coordinate with core engineering for platform integration.

Conocimientos

Full stack engineer

Product ownership

AI development tools

Code review

Autonomy

Herramientas

TypeScript/Node.js

React

PostgreSQL

BigQuery

Descripción del empleo

Telgea is the largest mobile plan provider measured by launched in the most countries world-wide. We're backed by Telenor, Vodafone, Fastweb, and Swisscom. We give multinational enterprises unified connectivity across multiple countries through one solution. This is enabled by stitching together carriers, regulations, and billing across borders into one coherent product. We're a deep technical team working across multiple countries serving 100+ enterprise customers and growing +20% MoM.

The Role

Our Product team is one unit turning problems into deployed solutions. The team consist of product engineers that all have a background as engineers turned product manager. By empowering them with LLM processes they're enabled to both define the solution and built it on their own.

As a Product engineer on this team, you'll own projects from end to end defining the scope, building the solution, and taking it through to production and launch. Some projects will stand on their own and others will be designed to integrate into the core platform and hand off cleanly to the teams who'll maintain them long-term.

This is an AI-native team. You'll use AI as your primary development tool, enabling a small group to take on large bodies of work independently and execute on them fast. Your focus is on defining what to build, designing what done looks like, and ensuring everything that ships is correct, secure, and built to last.

What you'll do

• Own self-contained projects end to end, from initial scope through to production deployment.
• Translate requirements from customers, partners, and internal stakeholders into clear technical plans.
• Use AI coding tools to handle the bulk of implementation architecture, integrations, and feature development across a broad range of work.
• Review, test, and validate everything you ship for correctness, security, performance, and maintainability.
• Coordinate closely with the core engineering team on projects that will integrate into or hand off to the main platform.

What we're looking for

• 3+ years as a full stack engineer.
• 1+ years working with product management with full end-to-end ownership.
• Strong fundamentals in system design, APIs, and data modeling. Enough to independently judge whether a solution is sound.
• A strong eye for code review: the ability to quickly identify defects, security risks, and design that won't scale.
• Working fluency with AI development tools (Claude Code etc).
• Sound product judgment and the ability to work autonomously with limited process.
• Excelent Project management.
• A team player that is good at communicating.
• Based in Barcelona and able to go to our office at Norrsken House at least 3 days/week

Nice to have

• A track record of delivering larger, greenfield projects independently.
• Hands-on experience with LLM orchestration or agent frameworks.

Our stack

• TypeScript/Node.js with React on the front end.
• PostgreSQL and BigQuery on Google Cloud (GKE, Pulumi).