• Lead an ai-native, cross-functional team building simpleclub's products and platform: onboarding & discovery, learning management tools and the AI assistant transforming trainers' day-to-day work. You'll stay hands-on: writing and maintaining code, and contributing actively to the innovation and solutioning. • Line-manage and grow your team through feedback, clear growth paths, and mentorship. • Set standards with other leads and engineers across architecture, development, delivery and operations, for high velocity and a scalable, reliable system. • Identify, scope, prioritize and resolve technical debt with your team and your Product Manager. • Co-lead the product and technical OKRs for your team, driving measurable impact for customers. • Partner with Product Managers and designers through research and validation, as a true product trio.

• Gestionar al equipo técnico interno (~10 personas) • Velar por arquitectura y calidad del producto • Actuar como par del cliente (business owner) • Comunicar límites, riesgos y esfuerzos de cada solicitud • Participar en definiciones de arquitectura y diseño • Asegurar buenas prácticas en producción • Promover herramientas de Inteligencia Artificial

• Develop features in Java applications with support from the team • Perform evolutionary and corrective maintenance on systems • Assist in creating and maintaining automated tests (unit and integration) • Use Artificial Intelligence tools to support development (code generation, testing and problem analysis) • Support integrations with APIs and external partners • Participate in agile ceremonies and collaborate with the team • Help analyze the impact of changes on existing systems • Contribute to continuous improvements (performance, quality and code organization) • Work with source control and CI/CD pipelines • Support technical documentation and knowledge sharing

• Define and own the enterprise platform architecture strategy — establishing the technical vision for how our systems, services, APIs, and data layers are designed to support product innovation, client scale, and competitive differentiation. • Develop and maintain architecture principles, patterns, and guardrails that guide Engineering teams toward consistent, scalable, and maintainable system design across back-end, API, and integration layers. • Lead architectural runway planning in partnership with the VP of Engineering and Product leadership — ensuring architectural investments stay ahead of product demand and organizational growth. • Evaluate and make deliberate decisions on foundational technology choices — including frameworks, cloud services, messaging patterns, data stores, and AI/ML integration approaches — balancing innovation with operational sustainability. • Own the architecture decision record (ADR) process, ensuring significant architectural decisions are documented, peer-reviewed, and accessible to the broader engineering organization. • Champion an AI-first design philosophy across the platform — ensuring that AI capabilities, including LLM integration, intelligent workflow orchestration, and ML-powered services, are treated as first-class architectural concerns rather than afterthoughts. • Define architectural patterns for AI capability integration, including API design standards for LLM-powered services, prompt management patterns, model versioning strategies, and AI observability requirements. • Provide architectural oversight to the Manager of Back-End Software Engineering and Manager of Technical Software Engineering — ensuring that engineering work executed within those teams is architecturally sound, consistently patterned, and aligned with the platform roadmap. • Run architecture guilds, design forums, and technical review sessions that create space for Engineering teams to engage with platform architecture, raise design questions, and contribute to architectural evolution.