Airalo

• Own the customer data domain end-to-end — the flows, the tracking and event architecture, the contracts, the identity logic, the consent logic, the activation paths, and the integrations that hold it all together. • Collaborate closely with the data domain, product, engineering and business stakeholders to understand the core use cases we need to support, and translate that understanding into the architecture that delivers them. • Set technical direction across functions, hold the line on architectural decisions that span them, and lead the choices about how tracking, collection, identity, governance, and activation evolve as Airalo scales. • Design, build where it matters, operate, and keep the standards you set — bringing rigour to architectural decisions by framing options, weighing trade-offs, and producing documents that make the choices legible to leadership.

• Act as the sole creator and driver of our company-wide learning roadmap, balancing high-level scope with a hands-on approach. • Design, deliver, and evolve training programs that equip our team leads and managers with the skills to motivate and guide their remote teams. • Partner closely with department heads (Tech, Sales, Product, etc.) to identify skills gaps and source or build specialised, technical training that unlocks team potential. • Create and facilitate learning experiences tailored specifically for a distributed team, ensuring programs are interactive, community-building, and engaging. • Prioritise training that solves real business problems, focusing on measurable growth and practical application rather than just "checking a box." • Mix the best of both worlds by creating bespoke internal content while sourcing and managing high-quality external vendors and educational tools. • You are capable and comfortable to handle an L&D budget, understand where investment needs to be made and where scrappy solutions can work.

• 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

• Develop and maintain robust backend services capable of handling high-volume global traffic. • Implement functional APIs and optimize query performance to ensure a seamless user experience. • Contribute to our modular architecture, helping us build resilient, service-oriented systems. • Write clean, maintainable code by applying SOLID principles, OOP best practices, and design patterns. • Master the art of debugging, identifying and resolving issues across our stack with precision. • Integrate asynchronous processes using queues and basic event-driven patterns to improve system efficiency. • Collaborate closely with Senior Engineers and Product teams to turn requirements into high-quality technical solutions.

• Develop and maintain robust backend services capable of handling high-volume global traffic. • Implement functional APIs and optimize query performance to ensure a seamless user experience. • Contribute to our modular architecture, helping us build resilient, service-oriented systems. • Write clean, maintainable code by applying SOLID principles, OOP best practices, and design patterns. • Master the art of debugging, identifying and resolving issues across our stack with precision. • Integrate asynchronous processes using queues and basic event-driven patterns to improve system efficiency. • Collaborate closely with Senior Engineers and Product teams to turn requirements into high-quality technical solutions.

• Build and own Airalo’s end-to-end pricing capability as a core commercial lever for both B2C and B2B lines of business. • This role transforms pricing from fragmented, reactive decisions into a centralized, system-driven function powered by data, market dynamics, experimentation, and AI. • The role is responsible for defining market positioning, establishing market tiering, and creating the decision frameworks that balance our growth ambitions with disciplined margin protection. • You will own global pricing performance (revenue, margin, elasticity), build the pricing engine (data + logic + automation), define pricing governance and decision processes, recognize opportunities, drive continuous experimentation and optimization.

• 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.

• Manage and coach a growing team of 4 data analysts • Act as the go-to analytics partner for various leaders • Guide the team on key performance metrics • Review analyses for rigour, clarity, and actionability • Drive adoption of Lightdash across the business • Establish lightweight intake, prioritisation, and delivery standards • Set standards for how analysis is scoped, delivered, and documented • Build institutional knowledge • Experience and understanding around product teams work with data

• Partner with Product teams to define success metrics, design experiments, and evaluate feature impact • Design and analyse experiments with statistical rigour • Evaluate experimentation tooling landscape • Define tracking plans, naming conventions, and instrumentation governance • Define and implement product-level KPIs • Build and maintain governed product dashboards in LightDash • Train PMs and product leaders to interpret funnel metrics • Conduct deep-dive analyses on user behaviour, funnel performance, cohort trends, and retention dynamics • Size opportunities and build business cases • Partner with product leadership to evaluate product bets • Help shape how product analytics scales at Airalo • Partner with data and product engineering to define event tracking requirements

• Manage and evolve Airalo’s growth MMM portfolio - driving the existing market model from validation into a production-grade decision tool, and scaling to additional markets as growth ambition and data readiness allow. • Design and execute incrementality experiments (geo-holdouts, conversion lift studies, synthetic control, difference-in-differences) that calibrate the MMM and establish true causal impact of marketing spend across channels. • Evolve our attribution methodology: determine the right models and attribution windows for our purchase cycle, specify the data requirements, and measure the impact of tracking remediation on attribution accuracy. • Calculate and continuously optimize the CAC metrics (platform-reported, internally-attributed, incremental, and blended) and own LTV:CAC as a strategic KPI reported to leadership. • Build measurement literacy within the Growth and Acquisition teams: train stakeholders to interpret the LTV/CAC related metrics, understand the difference between attributed and incremental performance, and use self-service reporting with confidence. • Build and maintain the performance marketing reporting framework - with Analytics Engineering to ensure the underlying models serve both reporting and measurement needs. • Act as analytics partner to the Growth and Acquisition teams: translate business questions into measurement plans, deliver the analytics that inform spend decisions, and build self-service reporting that reduces ad-hoc dependency. • Drive adoption of measurement outputs-ensure MMM scenarios, incrementality results, and attribution insights translate into concrete budget allocation changes. • Contribute to the development of a unified decision framework that integrates signal health, attribution, and incrementality into budget allocation guidance with clear go/no-go criteria for scaling spend by market and channel. • Build institutional knowledge: document every experiment result, every MMM refresh, and every signal quality trend so that each quarter’s decisions are better informed than the last. • Collaborate with the Senior CDP Engineer and MarTech on the data and signal infrastructure that underpins measurement - defining what you need, so they can build it right.