Attribution & Signals Engineer
Job Description
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Responsibilities:
Own the end-to-end attribution and signals system, becoming the company’s expert driving technical decisions and best practices across the organization
Implement and improve attribution models (Appsflyer, GA4, custom server-side) ensuring it remains accurate and reliable.
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, monitoring and debugging of discrepancies.
Own the long-term evolution of the platform, making thoughtful architectural and prioritization decisions that balance business impact, scalability, reliability and maintainability.
About You:
Technical expertise:
Strong knowledge of attribution / tracking mechanisms (pixels, UTMs, ID-based matching, MMPs, SRN, SKAN, W2A, etc.)
Previous experience enriching and sending signals from mobile apps to Ad Networks to optimize campaign performance (Meta CAPI, TikTok CAPI, Google Ads API, etc)
Proven experience with REST APIs, webhooks, API integrations and serverless environments.
Solid knowledge of SQL/NoSQL databases.
Proficiency in backend technologies such as TypeScript, Python, and Go.
High ownership and proactivity
Experience working in fast-growing, product-led organizations, balancing speed, scalability, and reliability in ambiguous environments
Problem-solving and product focus:
Excellent problem-solving and analytical skills, with the ability to resolve complex technical challenges.
Eye for detail and a product-first mindset, with a passion for creating exceptional user experiences.
Self-driven, entrepreneurial attitude with the ability to work autonomously and take ownership of projects.
Communication:
Good level of spoken and written English.
Ability to collaborate effectively with cross-functional teams, including engineering, product, and marketing.
What we Offer:
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.
Flexible working hours.
Competitive compensation
High-end equipment for your development.
Permanent contract with competitive compensation.
A young and top entrepreneurial team in a dynamic startup environment.
Opportunity to lead, grow, and take on big challenges.
Work with cutting-edge technologies, including the chance to integrate AI models into new apps.
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Labhouse
View Company ProfileLabhouse (operating under the labhouse.io domain as Labhouse Mobile) is a premier, product-focused startup studio, mobile utility architect, and AI-native application development powerhouse engineered to build, scale, and iterate category-defining consumer and productivity products globally. Founded by the veteran duo behind SocialPoint (the major gaming studio acquired by Take-Two Interactive), the firm completely eliminates the severe systemic friction of modern mobile product development—where companies face slow cross-platform launch tracks, bloated feature creep, unoptimized acquisition channels, and generic artificial intelligence wrappers—by deploying hyper-focused, elite product delivery cells. Moving far beyond traditional, transactional agency models or slow enterprise software timelines, Labhouse unifies native iOS and Android engineering frameworks, data-driven growth science loops, and design-first AI execution models into a high-performance execution workspace. The studio leverages small, agile product teams to build highly scalable utilities that have captured over 100 million combined global downloads, featuring flagship applications like Cleaner GO, Invoice Fly (which manages billing portfolios for over 9 million SMBs), and Summary AI (an advanced, low-latency audio transcription and contextual analysis module). Under the hood, its sophisticated architecture natively orchestrates rapid 21-day TestFlight prototyping loops, highly localized pricing and metadata monetization matrixing across dozens of tiers, and privacy-first on-device telemetry execution. What sets Labhouse apart is its uncompromising dedication to replacing short-term hyper-cycles with robust, compounding customer retention metrics; by bridging the gap between performance-intensive native software architecture and intuitive, human-centric AI-native user experiences, the company enables modern utility applications to scale organic acquisition loops and sustain continuous commercial growth worldwide.
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