Senior Growth Engineer
Primary stack
Job description
About the Position
Senior Growth Engineer
Barcelona - Cataluña
Full-time Contrato Indefinido / Hybrid
About the Role
Lodgify is a fast-growing scale-up company leading the vacation rental industry. Backed by $30M in funding, our platform empowers property owners and managers worldwide to efficiently manage and grow their business through technology.
Headquartered in sunny Barcelona, we're now a team of 380+ people representing over 60 nationalities, united by a passion for transforming the future of short-term rentals.
Responsibilities
The Senior Growth Engineer sits at the intersection of marketing technology, data engineering, and product analytics, acting as a technical force multiplier for our Growth organization. Key responsibilities include:
- Marketing Technology & Integrations: Build and maintain robust server-to-server (S2S) integrations with major ad platforms (Meta CAPI, Google S2S, AppsFlyer) and own end-to-end web/app tracking parity, smart script inserts, and SKAN setup.
- Tracking Standards & Governance: Own the overarching Marketing Tracking Standards (event naming conventions, schema versioning, consent management tooling), acting as the final technical authority on tracking implementation quality.
- Attribution Product Engineering: Engineer and refactor the data infrastructure feeding our attribution models, connecting ad-platform spend APIs, matching session data, and piping profit/gross margin data back to ad networks to enable value-based bidding.
- AI-Powered Growth Engineering: Productionise ML models from notebook prototypes to monitored pipelines (CLTV scoring, causal impact tooling, non-trackable conversion models) and build AI-assisted tools like automated anomaly detection on spend or LLM-powered taxonomy systems.
- Sales Tech & AI Tooling Enablement: Build pipeline infrastructure for lead scoring, intent signal enrichment, and CRM data quality, while owning the integration layer for Sales-side AI experimentation tools (e.g., ElevenLabs, Supersonic, TDO, Moon Scale).
- Signal Enhancement: Implement advanced matching, first-party data enrichment, and probabilistic matching to maximize signal quality as third-party tracking continues to degrade.
- Cross-Squad Collaboration: Act as the technical point of contact for individual Growth squads, unblocking integration roadblocks, reviewing their instrumentation, and proactively replacing bespoke solutions with scalable, shared platform infrastructure.
- Codifying Knowledge: Document architectural decisions, integration patterns, and data standards to ensure institutional growth knowledge is structured, accessible, and built to scale over time.
Requirements
- Production-Grade Software Engineering: You write clean, tested, and maintainable code, applying software design principles and Domain-Driven Design (DDD) thinking to growth and data systems.
- Distributed Systems Fluency: You are highly confident shipping integrations across REST APIs, webhooks, and event streaming, and you know how to architect around the failure modes of distributed networks.
- Modern Tracking Landscape Expertise: You possess a deep understanding of browser and in-app consent frameworks, cookie-less measurement, server-side tagging, and the technical implications of privacy changes (iOS, etc.) on attribution.
- Data & Pipeline Fluency: You speak the same language as Data Engineers and Analysts. You can write complex SQL, architect robust data models, build pipelines, and maintain an exceptional standard for data reliability.
- Commercial Stakeholder Management: You comfortably interface with revenue-facing teams (Sales, Partnerships, Growth Director) and seamlessly translate commercial hypotheses into precise technical requirements.
- Applied AI & ML Competency: You know how to wrap an ML model to make it trustworthy in production, with a sharp focus on monitoring, drift detection, fallback logic, and clear ownership.
- AI-Assisted Development: You actively leverage the frontier of modern AI engineering tooling (LLMs, embeddings, vector search, AI-assisted coding frameworks) with the engineering judgment to apply them where they add true proof of value.
Nice to Have
- Familiarity with causal inference methods (difference-in-differences, synthetic control, uplift modelling).
- Prior experience building or scaling shared platform infrastructure in high-growth consumer or B2B SaaS businesses.
- Deep technical implementation experience with modern tag management and data activation systems (e.g., Rudderstack, HubSpot, or equivalents).
We Offer
- Remote Flexibility: The freedom to work from home any day that works for you.
- Time to Recharge: 25 working days of paid vacation and Jornada Intensiva in August.
- Alan Health Insurance: Premium health, dental, and mental health support via Alan. Pre-existing conditions are covered.
- Meal Perk: €150/month allowance on your Alan card + 50% off Ametller Origen prepared dishes at the office.
- Tax-Free Savings: Increase your take-home pay by using Flexible Remuneration for extra meal costs (up to €70/mo) and public transport (up to €136/mo).
- Home Office Gear: We provide a table, ergonomic chair, and monitor for your home setup.
- Language Learning: Free Spanish classes.
- Referrals: Cash rewards for bringing in new talent.
- Social Life: Daily office breakfast and monthly team events.
- Dynamic Hub: A high-energy, inclusive environment designed for collaboration and connection with a team that represents over 60 countries.
About the Company
You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives, and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.
Apply now!
All applications and CVs must be submitted in English 😉
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
© Lodgify. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Lodgify is a rapidly growing early stage tech startup building software-as-a-service tools for the vacation rental industry. Our software enables vacation rental businesses to easily create a website with a “Book now” button and manage all their reservations. Lodgify was named byWired.co.ukas one of the hottest startups in Barcelona 2015 and has raised €2M in venture capital to date. We are an international team of 25 people and are located in the center of Barcelona.