• Build the technical foundation that powers acquisition, activation, retention, and revenue growth • Own the systems, instrumentation, integrations, event architecture, attribution infrastructure, lifecycle tooling, experimentation capabilities, and reporting foundations • Define, maintain, and govern event tracking architecture and taxonomy across web, mobile, CRM, and backend systems • Ensure consistent and reliable event tracking across all customer touchpoints • Improve funnel visibility from install through repeat transaction • Monitor, debug, and reconcile discrepancies between backend transactional data and analytics tools • Own implementation, governance, and ongoing optimisation of AppsFlyer and mobile attribution infrastructure • Improve attribution accuracy across paid and organic channels • Establish reliable and trusted channel performance reporting • Maintain source attribution consistency across acquisition, lifecycle, and reporting systems • Design and maintain growth data pipelines and warehouse integrations across various platforms • Build and maintain internal growth tooling used by Marketing, Lifecycle, Commercial, and Operations teams • Enable and maintain lifecycle event triggers and CRM automation architecture within Customer.io • Build and iterate on referral systems, rewards and gamification infrastructure, and onboarding flows • Establish best practices for measurement, experimentation, and learning loops • Identify friction points and collaborate with Product and Growth teams to improve conversion performance

• Architect and scale distributed systems supporting healthcare AI applications • Design and improve agent orchestration platforms and AI-driven workflows • Build secure healthcare data layers and enterprise-grade integrations • Develop systems leveraging LLMs, reinforcement learning, and agent-based architectures • Drive architecture decisions and technical strategy • Improve scalability, reliability, performance, and operational excellence • Mentor engineers through code reviews, design discussions, and knowledge sharing • Collaborate closely with founders and a small, high-performing engineering team

• Architect and scale distributed systems supporting healthcare AI applications • Design and improve agent orchestration platforms and AI-driven workflows • Build secure healthcare data layers and enterprise-grade integrations • Develop systems leveraging LLMs, reinforcement learning, and agent-based architectures • Drive architecture decisions and technical strategy • Improve scalability, reliability, performance, and operational excellence • Mentor engineers through code reviews, design discussions, and knowledge sharing • Collaborate closely with founders and a small, high-performing engineering team

• Architect and scale distributed systems supporting healthcare AI applications • Design and improve agent orchestration platforms and AI-driven workflows • Build secure healthcare data layers and enterprise-grade integrations • Develop systems leveraging LLMs, reinforcement learning, and agent-based architectures • Drive architecture decisions and technical strategy • Improve scalability, reliability, performance, and operational excellence • Mentor engineers through code reviews, design discussions, and knowledge sharing • Collaborate closely with founders and a small, high-performing engineering team