Donnes

• Manage a portfolio of clients, monitoring their journey and ensuring a close, consultative relationship; • Conduct periodic meetings, supporting clients in using the platform and improving their processes; • Clarify questions related to accounting routines, tax matters, integrations and other solution features; • Act as a bridge between clients and internal teams, tracking requests until resolution; • Monitor portfolio health, identifying risks, improvement opportunities and possibilities to expand the relationship; • Participate in building processes, playbooks, support materials and the team's knowledge base; • Contribute to continuous improvement of the customer experience and the evolution of the operation.

• Evoluir modelos avançados de previsão de demanda, garantindo precisão, confiabilidade e escalabilidade para apoiar decisões relacionadas à gestão de produtos perecíveis; • Atuar em todo o ciclo de desenvolvimento dos modelos, desde a exploração dos dados até validação, implantação, monitoramento e evolução contínua em produção; • Desenvolver soluções capazes de transformar previsões de demanda em recomendações inteligentes de compra, ampliando continuamente as capacidades de Decision Intelligence da plataforma; • Traduzir problemas complexos de negócio em modelos quantitativos robustos, conciliando rigor estatístico e aplicação prática; • Garantir a qualidade, escalabilidade e governança dos modelos em produção utilizando Databricks e seu ecossistema; • Colaborar diretamente com o CTO e com o time de Produto na evolução das soluções de Ciência de Dados da empresa.

• Provide technical leadership for the company's technology function • Drive the evolution of the platform architecture, stability, and scalability • Lead technical decisions related to scraping, infrastructure, data, and back-end • Support the development of the technical team and the evolution of operations • Actively participate in development, troubleshooting, and critical stack decisions • Establish processes, best practices, and technical organization for the area • Work closely with the founders/partners on technology-related decisions and business growth.

• Develop and enhance full-stack applications with a focus on stability, performance, and scalability; • Define and maintain software architectures, supporting technical decisions and engineering standards; • Build and consume APIs, ensuring efficient integration between systems; • Work in a cloud environment (AWS), contributing to application reliability and availability; • Ensure quality through coding best practices, testing, and technical reviews; • Analyze and optimize application performance and efficiency; • Operate with technical autonomy to resolve issues and evolve solutions; • Collaborate with technology and product teams in a distributed environment; • Contribute to continuous improvement of engineering processes and practices.

• Lead end-to-end recruitment processes, from aligning candidate profiles with hiring managers through to the completion of hiring • Act as a consultative partner to leadership, supporting the definition of requirements, seniority levels, and attraction strategies • Manage multiple openings simultaneously, ensuring organization, steady progress, and visibility across processes • Conduct active talent sourcing (hunting) and market mapping for strategic or hard-to-fill positions • Monitor recruitment metrics such as time-to-fill, stage conversion rates, and shortlist quality • Support data-driven decision making by providing analyses and recommendations on recruitment processes

• Develop, maintain, and evolve scalable data pipelines using Airflow as the primary orchestration tool; • Build robust integrations across multiple data sources, ensuring consistency, auditability, and data quality; • Work on data modeling and transformations for analytical and operational layers; • Ensure stability and observability of critical pipelines, reducing incidents and increasing platform reliability; • Contribute best practices for versioning, automation, testing, and architectural standards; • Collaborate with Software Engineering, Architecture, Product, and business teams to prioritize and deliver requirements; • Participate in technical decisions that impact the evolution of the data architecture; • Support the modernization of legacy processes and the continuous improvement of the platform.

• Develop backend applications using C# and .NET for strategic projects and products • Build and evolve APIs following the REST standard • Work on the architecture and maintenance of microservices • Participate in migration and modernization of legacy systems • Work with containers and deployment best practices • Work with relational and NoSQL databases in transactional environments • Ensure code quality and organization using principles such as Clean Code, SOLID, and design patterns • Participate in agile ceremonies and technical discussions • Contribute to versioning practices, CI/CD, and automated testing • Maintain and evolve code in a clean, efficient, and sustainable manner