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Lead Backend Engineer Data Platform

Labhouse
CompanyLabhouse
CategoryEngineering
LocationBarcelona
RemoteHybrid
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted9 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
Labhouse is a Barcelona-based startup studio building AI-powered mobile apps used by hundreds of thousands of people worldwide. Our products — including Invoice Fly and Summary AI — are designed to make everyday tasks faster, smarter, and simpler through a subscription model that puts the user first. We were founded by Andrés Bou and Horacio Martos, the duo behind SocialPoint (acquired by Take-Two Interactive), and we operate with the mindset of a product company: small teams, high ownership, and a relentless focus on building things that matter. We're now looking for a Lead Backend Engineer to own one of our most technically ambitious greenfield projects — and eventually grow a team around it. 🚀 ABOUT THE ROLE We're building something new in-house — a greenfield backend system that sits at the intersection of mobile, data, and growth infrastructure. The details are under wraps for now, but the challenge is real: you'll design and build this from scratch, with full ownership over the architecture, the stack, and the technical decisions. You'll start as an IC, then grow a team around what you build. WHAT YOU'LL DO: - Architect and build a complex, high-scale backend system from the ground up — greenfield, no legacy constraints - Choose and own the technology stack; we're open to the right tool for the job - Design reliable, low-latency data pipelines and the APIs that power the product - Work closely with Growth and Product teams to ensure the system delivers the right data for decision-making - Lay the technical foundation with future team growth in mind — your architecture decisions will shape how this team scales ABOUT YOU ACADEMIC BACKGROUND: - You hold a degree in Computer Science, Software Engineering, or a related technical field. Strong academic foundations in distributed systems, data engineering, or backend architecture are a plus. TECHNICAL EXPERTISE: - 7+ years of backend engineering experience, with a strong track record of building complex, high-scale systems from scratch - Experience working on data-intensive backend infrastructure: event pipelines, distributed systems, high-throughput APIs - Strong backend fundamentals — you can pick the right architecture for the problem, not just the one you know best - Experience working with TypeScript/Node.js is a plus, but we're open to other languages — stack is not closed - Proven ability to work autonomously and make sound technical decisions without heavy oversight - A builder's mindset: you're energized by the blank-page challenge of creating something from zero COMMUNICATION - You communicate clearly and proactively — whether it's aligning with the Growth team on attribution requirements, documenting architectural decisions, or flagging blockers early. - You're comfortable working remotely and know how to stay connected and collaborative across an async environment. NICE TO HAVE - Prior experience at a mobile-first company or ad tech company, especially in growth or data infrastructure - Familiarity with the mobile measurement ecosystem — knowing how these tools work helps you build better - Experience with fraud detection in data pipeline contexts - Experience hiring or mentoring engineers — you'll be doing this soon WHAT WE OFFER - Competitive salary, attractive and above market average - Remote work from anywhere in Spain. If you are based in Barcelona, we would love for you to join us at the office (Barcelona Tech City) at least two days a week. - The chance to build a technically complex system from zero, with full ownership - A lean, high-talent environment where your work has direct and visible impact - Work alongside founders who have built and scaled globally successful products HIRING PROCESS 1. TA Interview – Initial conversation to get to know each other and understand your background. 2. CTO interview – Deep dive into your product thinking, expe
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