Backend engineering role at Labhouse (Barcelona), owning the attribution and signals system that integrates with ad networks for AI and productivity mobile apps.
Stack
Responsibilities
- ▹Own the end-to-end attribution and signals system, driving technical decisions and best practices across the organization
- ▹Implement and improve attribution models (Appsflyer, GA4, custom server-side)
- ▹Design and maintain server-to-server integrations with ad networks (Meta, Google Ads, ASA, TikTok, Snapchat)
- ▹Ensure monitoring, QA and debugging of discrepancies between internal data and ad platforms
- ▹Continuously improve attribution accuracy and signal quality through custom pipelines, experimentation and monitoring
- ▹Own the long-term evolution of the platform, making architectural and prioritization decisions
Requirements
- ▹Strong knowledge of attribution/tracking mechanisms (pixels, UTMs, ID-based matching, MMPs, SRN, SKAN, W2A)
- ▹Experience enriching and sending signals from mobile apps to ad networks (Meta CAPI, TikTok CAPI, Google Ads API)
- ▹Proven experience with REST APIs, webhooks, API integrations and serverless environments
- ▹Solid knowledge of SQL/NoSQL databases
- ▹Proficiency in backend technologies: TypeScript, Python and Go
- ▹High ownership and proactivity
- ▹Experience in fast-growing, product-led organizations
- ▹Excellent problem-solving and analytical skills
- ▹Good level of spoken and written English
Soft skills
High ownership and proactivitySelf-driven, entrepreneurial attitudeExcellent problem-solving and analytical skillsProduct-first mindsetEffective cross-functional collaboration
What we offer
- ▹Remote work from anywhere in Spain (optional Barcelona office, 2 days/week)
- ▹Flexible working hours
- ▹Competitive compensation
- ▹High-end equipment for development
- ▹Permanent contract
About the company
Labhouse is a fast-growing Barcelona-based startup that builds and operates its own AI and productivity apps on a subscription model, founded by Andrés Bou and Horacio Martos, co-founders of SocialPoint.
Languages: Angol: Jó szintű (szóban és írásban)
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