Engineering Manager

Factorial; Madrid; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Access to gyms and pools

Language classes

Breakfast in the office

Pet friendly office

Descripción de la vacante

Factorial is seeking an Engineering Manager in Madrid to lead a team tackling complex challenges and advancing product development using AI. You will focus on mentorship, hiring, and ensuring product quality.

The ideal candidate has over 5 years of full-stack engineering experience and at least 3 years in a leadership role. The position supports a flexible office-first approach, combining on-site and remote work.

Formación

• 5+ years of experience as a full-stack engineer (or similar role).
• 3+ years of experience leading engineering teams.
• Strong experience designing APIs (REST, GraphQL, etc.) and building integrations.
• Background in AI-powered product development.

Responsabilidades

• Lead and grow your team of engineers, focusing on career development.
• Participate in hiring, onboarding, and talent acquisition.
• Collaborate across teams to contribute to platform foundations.
• Define and refine product roadmaps and propose new ideas.

Conocimientos

Full-stack engineering experience

Team leadership

API design (REST, GraphQL)

Scalability and performance in production systems

AI-powered product development

Modern AI development practices

Descripción del empleo

Overview

Factorial is looking for an Engineering Manager to tackle complex domain challenges and advance product development with AI as a core part of the product. The role requires leading a team while being accountable for product health, scalability, and evolution.

Responsibilities

• Lead and grow your team of engineers, focusing on career development and maintaining a healthy team culture.
• Participate in hiring, onboarding, and talent acquisition for the engineering group.
• Collaborate across teams to contribute to platform and service foundations.
• Engage in Socratic discussions that focus on finding the best solution.
• Define and refine product roadmaps, review RFCs, and propose new ideas.
• Hold weekly meetings and 1:1s to discuss development and well‑being of team members.
• Coordinate initiatives with other engineering managers that impact multiple teams.
• Guide engineers in reviewing, validating, and safely deploying AI‑generated code and behaviors.

Qualifications

• 5+ years of experience as a full‑stack engineer (or similar role).
• 3+ years of experience leading engineering teams.
• Strong experience designing APIs (REST, GraphQL, etc.) and building integrations.
• Experience in scalability, performance, and quality considerations in production systems.
• Background in AI‑powered product development, including building or contributing to production AI features or workflows.
• Familiarity with modern AI development practices such as spec‑driven development, evaluation frameworks, agentic workflows, and human‑in‑the‑loop systems.
• Ability to use AI‑assisted development tools to improve productivity and guide safe deployment.
• Understanding of LLM risks (hallucinations, evaluation challenges, data sensitivity).
• Experience encouraging rapid experimentation, iteration, and learning loops within a team.

How We Work

Our Engineering Teams follow an office‑first, flexible approach. We work on‑site several days a week to collaborate, while also supporting remote work when it fits individual needs for focus or personal reasons.

Benefits

• High growth, multicultural, and friendly environment.
• Private health insurance.
• Wellhub access for gyms, pools, and outdoor classes.
• Expense savings with Cobee.
• Language classes.
• Breakfast in the office and organic fruit.
• Discounts from partner programs.
• Free caffeine and theine.
• Pet friendly office.