Caju

Manager

• 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.

Senior Tech Manager

Sales Development Rep

• 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.

Pessoa Consultora de Pré-Vendas Jr – SDR

Analyst

• 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.

Mid-Level Customer Success Planning and Performance Analyst

Customer Support

• Operate in a high-touch model, delivering personalized and strategic interactions with customers according to the team's strategic direction;
• Lead periodic meetings (QBRs) and training sessions with consultative, solution-oriented interactions, identifying risks and opportunities related to adoption, retention, and customer satisfaction;
• Monitor customer health indicators, ensuring proactivity and prioritization in account management;
• Anticipate churn signals, engage in negotiations and recovery plans, and collaborate with internal teams to resolve critical blockers;
• Identify and nurture upsell and cross-sell opportunities;
• Represent the voice of the customer in internal forums and coordinate actions with Product, Services, Support, and Sales teams;
• Collaborate with internal teams to ensure a consistent customer experience and contribute to the continuous improvement of the Customer Success function.

Mid-level Customer Success Analyst — Key Accounts

Business Development Rep

• Conduct in-depth lead qualification, investigating context, pain points, urgency, impact, and customer decision criteria;
• Be accountable for goals and performance metrics (qualification volume, conversion, no-shows, SLA, cadence efficiency, and opportunity generation), ensuring predictability of delivery;
• Perform consultative handoffs between Pre-Sales and Sales Executives, ensuring strategic alignment and high-quality handoffs;
• Build personalized outreach approaches by ICP, segment, and business context, using multiple prospecting channels (email, LinkedIn, phone, and WhatsApp);
• Create, test, and optimize hypotheses to improve operational efficiency: messaging, cadences, segmentations, channels, prompts, automations, and outreach strategies;
• Organize and keep the Salesforce CRM up to date, ensuring data quality, traceability, and funnel visibility;
• Develop relationships with strategic accounts, ensuring a consistent journey through to the first meeting;
• Work in partnership with leadership and related areas to identify bottlenecks, opportunities, and continuous improvements in the commercial process;
• Support the team’s operational development by sharing best practices, learnings, and strategic prospecting insights;
• Use commercial intelligence tools and AI resources applied to sales and pre-sales to drive productivity, personalization, and operational efficiency.

Senior Pre-Sales Consultant

Analytics Engineer

• Build and maintain robust data models using dbt
• Develop fact tables, dimension tables and data marts aligned with business needs
• Serve as the bridge between business teams and data engineering
• Document developed models, including metric definitions, applied business rules, data glossary and lineage
• Implement and maintain orchestration pipelines on Databricks and Airflow
• Develop solutions in Python and SQL for data transformation, cleansing and aggregation
• Implement data quality tests in dbt models and analytical layers
• Set up monitoring and alerts for pipelines and data models
• Lead complex end-to-end modeling projects
• Apply appropriate partitioning, clustering and materialization strategies to ensure performance and cost efficiency in data processing
• Collaborate with product and business squads

Senior Analytics Engineer

Backend Engineer

• Definir e guiar a visão técnica de produtos e projetos, desde o design da solução até o lançamento e refinamento
• Projetar arquiteturas de sistemas escaláveis, resilientes e alinhadas aos objetivos de negócio
• Liderar Code Reviews, elevando os padrões de qualidade de código e arquitetura do time
• Mentorar e capacitar desenvolvedores Sênior, promovendo a cultura de excelência técnica
• Identificar e gerenciar dívida técnica, propondo e executando iniciativas de melhoria contínua da plataforma
• Atuar na decomposição de soluções complexas em entregas incrementais, evitando projetos "big bang"
• Colaborar com produto e design para garantir a viabilidade técnica das funcionalidades e influenciar a direção do produto
• Representar a visão técnica do time em discussões com stakeholders e outras áreas
• Definir e documentar padrões arquiteturais: design de APIs, comunicação entre serviços (síncrona/assíncrona) e persistência de dados
• Contribuir com automação e melhorias nas práticas de desenvolvimento, CI/CD e observabilidade do time
• Participar do recrutamento de novos talentos técnicos