Caju

• Present the solution and commercial proposal to prospective clients whose profiles align with our product; • Conduct consultative sales, deepening the technical aspects of negotiations according to each client’s needs; • Lead the sales process with excellence, ensuring quality at every stage and in communication with areas such as Customer Success, Technology, Finance and Support; • Monitor, plan and analyze the sales funnel using our CRM; • Analyze performance results and implement action plans to achieve targets.

• Provide commercial support to potential customers through email, WhatsApp and/or phone calls • Open and follow up on tickets to resolve technical issues related to new customer registrations • Perform, record and monitor activities using our CRM • Analyze performance results and implement action plans to meet targets.

• Develop web and mobile applications using modern front-end technologies, always focusing on maintainability, component reusability, and delivering an excellent end-user experience; • Review code produced by the team; • Participate in technical specifications for new features; • Ensure code quality with unit and integration tests; • Use AI tools (e.g., Claude, Copilot) in day-to-day work to accelerate delivery, review code, and solve problems autonomously.

• Develop web and mobile applications using modern front-end technologies, with a focus on maintainability, component reusability, and delivering an excellent end-user experience • Review code produced by the team • Participate in technical specifications for new features • Ensure code quality through unit and integration testing • Use AI tools (e.g., Claude, Copilot) daily to accelerate development and solve problems more autonomously

• Desenvolvimento de APIs Rest para evolução e manutenção do produto; • Garantir a qualidade de código, com testes de unidade e integração; • Participação nas discussões de solução e arquitetura; • Participação em Code Reviews; • Acompanhar deploy.

• Desenvolvimento de APIs Rest para evolução e manutenção do produto; • Garantir a qualidade de código, com testes de unidade e integração; • Participação nas discussões de solução e arquitetura; • Participação em Code Reviews; • Acompanhar deploy.

• Build dashboards, reports, and analyses according to business needs, applying solid Data Storytelling principles and data visualization best practices; • Collaborate with internal teams to implement Business Intelligence solutions that support data-driven decision making; • Ensure peak performance by optimizing complex SQL queries that support reports, using AI in the validation process; • Lead the migration and decommissioning of legacy dataviz tools, centralizing and migrating visualizations to our official platform (Databricks); • Develop, implement, and disseminate standards, governance processes, audit and certification procedures for the company's official reports, ensuring a monitored and reliable environment; • Work directly with the embedded reporting ecosystem, ensuring that data views integrated into the company portal perform excellently for our clients; • Perform cross-data analyses to generate insights and recommendations for continuous improvement using analytical and automation tools; • Collaborate with Data teams (Engineering and Architecture) to continuously improve the architecture, modeling, and governance of the data that feed the BI; • Conduct discovery sessions with business areas to map needs, translate requirements, and rigorously document business rules; • Maintain ongoing relationships with teams across Caju to keep all stakeholders informed, acting with strong technical leadership and self-management.

• Lead and develop people, overseeing careers and ensuring an inclusive and safe environment. • Act as the team's facilitator, removing impediments and promoting collaboration. • Contribute to architectural decisions, ensuring scalable, sustainable solutions aligned with platform strategy. • Manage planning, backlog and roadmap together with Product and Design. • Guide the balance between delivering business value and managing technical debt. • Plan and manage the team's budget, ensuring efficient use of resources. • Monitor operational excellence: monitoring, operation and maintenance of systems. • Lead recruitment, capacity planning and personnel allocation. • Delegate tasks effectively and follow up on execution. • Provide structured feedback and resolve conflicts constructively. • Build relationships with stakeholders, aligning expectations and translating technical terms into business language.

• Identificar e qualificar leads gerados por campanhas de inbound marketing, priorizando sempre a agilidade e qualidade da experiência dos clientes; • Conduzir abordagens estratégicas por telefone, whatsapp e/ou e-mails, assegurando o cumprimento dos SLAs estabelecidos; • Conduzir conversas iniciais de qualificação, aprofundando nas necessidades e os desafios dos leads, estabelecendo conexão e rapport; • Atualizar e gerenciar o CRM, garantindo a organização e registro detalhado de todas as interações e status dos leads; • Analisar métricas e dados de performance para identificar oportunidades de otimização nos processos de prospecção e qualificação; • Colaborar diretamente com o time, alinhando estratégias e compartilhando insights valiosos; • Participar de reuniões regulares para discutir resultados, compartilhar aprendizados e propor melhorias; • Contribuir para o aprimoramento contínuo das abordagens de vendas, coletando feedbacks sobre os leads e processos.

• Leverage AI to accelerate analyses and daily productivity, and to explore and build solutions (agents, automations, copilots) that scale the operation's intelligence. • Document processes and assumptions for information management and for AI adoption. • Act as a strategic partner to Customer Success leadership in defining and tracking the key health metrics for the SMB (PME) portfolio (e.g., portfolio coverage, NPS, churn, expansion). • Translate retention, engagement, and expansion targets into operational goals for the CS team, ensuring a scalable and segmented approach to the customer portfolio. • Ensure predictability of recurring revenue by analyzing churn, contraction (downgrades), and identifying expansion opportunities (upsell/cross-sell) at scale. • Structure analyses of the customer base to identify usage patterns, mass churn risks, and levers for growth and engagement. • Develop and maintain dashboards and reports that provide CS leadership with a clear view of portfolio health, team performance, and the impact of initiatives. • Monitor and optimize SMB customer journey metrics, such as onboarding time and adoption levels of key features. • Actively participate in CS team rituals, providing data-driven insights about the portfolio to support strategic and tactical decisions. • Serve as a bridge between Product, Marketing, and Data teams and the CS team to ensure SMB customer needs and feedback are addressed effectively. • Propose and implement process and automation improvements focused on scaling, efficiency, and consistency in customer servicing and portfolio management. • Contribute to the definition and review of retention goals and strategies based on analysis of customer behavior and portfolio performance.