Airalo

Analytics Engineer

• Lead and grow a team of analytics engineers (currently 2, scaling to 4 this year), building a culture of craft, documentation, and user empathy
• Drive the rollout and adoption of Lightdash as our single source of truth for business reporting, based on a unified KPI framework currently in progress
• Own all dashboard development initially - from executive reporting to operational views, with support from analysts - then fully transition the ownership to analysts as self-service matures, building the templates and processes that enable this shift
• Partner with stakeholders to translate reporting needs into well-designed, maintainable data products
• Design and deliver training and enablement programs for business users across all functions
• Own and evolve our core dbt models and semantic layer to support key analytical use cases: customer LTV, acquisition effectiveness, retention, funnel performance, and financial reporting
• Establish governance and standards: metric definitions, dashboard design patterns, modeling practices, testing frameworks, and documentation
• Partner with analysts to translate their needs into scalable data assets, and with Data Engineering on pipeline reliability and data quality
• Partner with Data Engineering on pipeline reliability, data quality, and infrastructure decisions
• Balance rigour with delivery speed-we're still building foundations while the business moves fast

Analytics Engineering Manager

Customer Retention Specialist

• Own retention as a cross functional system spanning CRM, Product, and Data
• Define lifecycle strategy across activation, retention, engagement, and referral
• Lead CRM channels end to end (push, email, in-app messaging, app inbox)
• Define and drive Product requirements across onboarding, engagement, and lifecycle UX
• Build and scale a lifecycle system that drives repeat usage and revenue
• Work with Data and CRM to refine segmentation strategy across user types, markets, and behaviors
• Design and run experiments across messaging, timing, journeys, and incentives
• Partner with Data to define measurement frameworks, segmentation, and incrementality
• Own how incentives (discounts, Airmoney, referrals) are used within lifecycle
• Establish clear communication rules to avoid fatigue and overlap
• Identify and prioritize the highest impact lifecycle opportunities
• Translate insights into actionable changes across CRM and Product

Customer Retention Director

Sales

• Lead partner acquisition initiatives across Spain, Italy and Portugal, in collaboration with the Director of Partnerships and cross-functional teams; to identify, qualify, and close high-potential B2B and B2B2C partners.
• Conduct strategic market mapping to build segmented prospect lists across Travel and Corporate verticals and conduct outbound acquisition approach
• Own the full sales cycle — from prospecting and discovery to proposal development, negotiation, and deal closure
• Drive onboarding success by ensuring seamless partner activation, product integration, and performance tracking.
• Champion Airalo within partner ecosystems by delivering clear product positioning, ROI narratives, and co-marketing initiatives that increase visibility and adoption in Southern Europe.
• Leverage sales analytics and CRM tools to track pipeline health, forecast revenue, and report on performance against monthly, quarterly, and annual OKRs.
• Collaborate cross-functionally with Marketing, Product, and Customer Success to align partner offerings, integrate feedback loops, and accelerate go-to-market initiatives.
• Monitor market intelligence and competitive activity to identify emerging opportunities, inform pricing or packaging strategies, and sustain Airalo’s leadership position within the partner ecosystem.

Sales Specialist

Engineering Manager

• Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers.
• Drive hiring for the Data Engineering function.
• Foster a culture of engineering excellence.
• Own the technical roadmap for Airalo’s data infrastructure.
• Drive data-platform architecture decisions.
• Bridge the data platform with MarTech and third-party ecosystems.
• Partner with Software Engineering to embed data quality at the source.
• Establish the foundations for real-time data capabilities.
• Design systems that prioritize data quality, privacy, and governance standards.
• Transition the team's workflow from reactive problem-solving to structured, agile delivery.
• Oversee the maintenance and optimization of high-performance data pipelines.
• Act as a strategic partner to the Analytics Engineering Manager and Data Director.

Analytics Engineering Manager

Customer Retention Director

Sales Specialist

Data Engineering Manager