Senior Growth Engineer

Overview

This role is for a Senior Growth Engineer based in Ireland who operates at the crossover of software engineering, marketing technology, data engineering, and product analytics. The engineer will develop technical foundations enabling Growth teams focused on Acquisition, Activation, Retention, Sales, and Partnerships to accelerate processes, measure outcomes accurately, and pilot experiments reliably. Responsibilities include hands-on development, architecture ownership, advanced tracking and attribution infrastructure, and AI-enhanced workflows. The role addresses complex measurement challenges amid increasing privacy restrictions, maintaining dependable and actionable growth signals. Close collaboration with commercial and technical stakeholders to translate business hypotheses into scalable engineering solutions is a key aspect. This position demands high ownership, adaptability to ambiguity, proficiency in modern data systems, distributed integrations, and impactful AI application.

Responsibilities

• Develop and sustain robust server-to-server connections with major advertising and marketing platforms including Meta CAPI, Google integrations, and AppsFlyer.
• Manage end-to-end web and app tracking parity, intelligent script implementations, and mobile measurement setups such as SKAN.
• Define and uphold marketing tracking standards including event naming, schema version control, consent management, and governance.
• Serve as a technical authority on tracking quality, guaranteeing consistent, reliable, and scalable instrumentation aligning with standards.
• Design and refine data infrastructure supporting attribution models covering advertising spend APIs, session data, and commercial metrics.
• Implement infrastructure to share profit and gross-margin signals with advertising platforms enabling value-based bidding and enhanced acquisition strategies.
• Transition machine learning models from prototypes into monitored, reliable production pipelines covering CLTV scoring, causal impact tooling, and models for untrackable conversions.
• Create AI-assisted growth tools such as automated spend anomaly detection and language model-driven systems to manage tracking taxonomies.
• Construct pipeline infrastructure for lead scoring, enriched intent signals, and CRM data quality assurance.
• Build and maintain integration layers allowing experimentation with AI-powered sales and growth tools.
• Apply advanced data matching, first-party enrichment, and probabilistic techniques to enhance signal quality amid limited third-party tracking.
• Partner technically with Growth squads to solve integration issues, review instrumentation, and shift bespoke implementations to scalable shared infrastructure.
• Collaborate across Data Engineering, Analytics, Growth, Sales, Partnerships, and commercial teams to convert business hypotheses into precise technical requirements.
• Document architecture decisions, integration patterns, standards, and data practices ensuring scalable institutional knowledge.
• Champion engineering best practices including testing, reliability, maintainability, monitoring, and production ownership for growth technology systems.

Requirements

• Extensive professional background in software engineering with proven ability to build clean, tested, maintainable, and production-ready systems.
• Strong knowledge of software design principles, with experience applying Domain-Driven Design to data, growth, or business systems.
• Deep experience in creating and managing integrations utilizing REST APIs, webhooks, event-driven, or other distributed systems technologies.
• Thorough understanding of failure modes, reliability aspects, and operational challenges in distributed systems and third-party integrations.
• In-depth expertise in modern marketing tracking techniques including browser and in-app consent frameworks, cookie-less measurement, server-side tagging, and privacy impacts like iOS attribution restrictions.
• Strong data engineering skills encompassing advanced SQL, data modeling, pipeline architecture, and reliability best practices.
• Ability to collaborate effectively with Data Engineers and Analysts, translating analytical needs into durable technical solutions.
• Experience engaging with commercial stakeholders (Sales, Partnerships, Growth leadership) to translate business hypotheses into clear technical tasks.
• Practical experience with deploying machine learning models into production including monitoring, drift detection, failovers, and ownership responsibility.
• Familiarity with modern AI engineering methods such as LLMs, embeddings, vector search, and AI-assisted development tools.
• Sound engineering judgment to identify where AI adds true value versus situations better served by traditional engineering.
• Excellent communication and collaboration abilities to effectively bridge technical and business teams.
• Comfortable working autonomously, taking ownership of complex problems and making wise technical choices amid uncertain conditions.
• Knowledge of causal inference methods (difference-in-differences, synthetic control, uplift modeling) is a beneficial asset.
• Experience developing or scaling shared platform infrastructure within fast-growing consumer or B2B SaaS environments is advantageous.
• Hands-on experience with modern tag management and data activation platforms such as RudderStack or HubSpot is a plus.

Benefits

• Flexibility to work remotely from home.
• 25 days of paid leave annually.
• Intensive work schedule in August.
• Comprehensive health, dental, and mental health insurance through Alan, including coverage for pre-existing conditions.
• Meal allowance of €150 monthly via benefits card.
• 50% discount on prepared meals at the office.
• Flexible remuneration for additional meal expenses and public transport within applicable limits.
• Provision of home office equipment like desk, ergonomic chair, and monitor.
• Complimentary Spanish language classes.
• Cash rewards for successful employee referrals.
• Daily office breakfast and organized monthly team events.
• International work environment with colleagues from over 60 nationalities.
• Opportunity to contribute to high-impact projects in growth, marketing technology, data, and AI.
• Benefits may differ based on contract type.

Additional Information

This role is advertised by a partner company that handles applications and subsequent hiring processes independently. The application and progression steps are managed internally by the partner organization.