• Develop advanced data pipelines and create flexible marketing solutions • Integrate powerful AI capabilities for deeper insights • Tackle complex challenges and drive innovation • Play a meaningful role in the growth of the team in Argentina

• Contribute across collaborative feature teams and solve meaningful customer problems • Shape what and how features are built • Work with Product, Support, Customer Success, and Go-to-Market teams • Ingest and understand large amounts of structured data • Create probabilistic knowledge graphs • Realize research algorithms in production • Build visual experiences for data understanding • Automate management of VMs running data processing jobs

• Develop modern, high-performance, and scalable web applications. • Build interfaces for managing agents, flows, integrations, permissions, metrics, auditing, and platform operations. • Develop APIs, backend services, and integrations with AI components, data, and infrastructure. • Implement authentication, authorization, RBAC, audit logs, and security controls. • Collaborate with Design and Product to turn journeys, prototypes, and requirements into well-finished features. • Create reusable components following design system standards, accessibility, and visual consistency. • Integrate applications with observability services, usage analytics, logs, and operational metrics. • Participate in frontend and backend architectural decisions, considering performance, security, maintainability, and scalability. • Work together with AI, Data, Machine Learning, and Platform Engineering to build end-to-end experiences.

• Act as the focal point and technical reference for the development team, supporting technical decisions, standardization and the adoption of tools; • Actively participate in code reviews and the definition of best practices; • Assist in designing and evolving solutions together with the solutions architect; • Ensure the technical quality of the software (testing, performance, security, observability, maintainability); • Support the team in breaking down requirements into technical specifications, estimates and delivery planning; • Collaborate with Product Manager/Owner and other areas (Design, Business, Data, Infrastructure) to align priorities and assess technical feasibility; • Lead continuous improvement initiatives (refactorings, automation, reduction of technical debt); • Mentor developers at different levels, supporting career development and knowledge sharing; • Participate in incident investigation and resolution, proposing preventive actions (post-mortems, RCA, etc.); • Contribute to building a strong, collaborative and results-oriented software engineering culture.