Compass

Product Manager

• Responsible for the end-to-end journeys of capitalization products, including product discovery and localization, purchase experience, gamification and post-sale support;
• Conduct continuous discovery processes with the squad, balancing business objectives, user experience, technical constraints and regulatory requirements;
• Manage the end-to-end delivery pipeline, ensuring predictability, quality and impact of releases;
• Work closely with internal teams and external partners, managing technical dependencies and negotiating timelines, scope and priorities;
• Negotiate priorities and trade-offs with multiple stakeholders, ensuring strategic alignment and focus on outcomes;
• Monitor funnel, conversion, retention and recurrence metrics, using data to guide decisions and product evolution;
• Ensure adherence to Design System guidelines, promoting consistency and quality of the experience;
• Act as the focal point for the journeys under your responsibility, maintaining clear and structured communication with all involved areas;
• Continuously evolve the product based on data, user feedback, learnings and regulatory changes.

Product Manager – iGaming, Senior

• Lead the development and execution of technology strategies aligned with business objectives, identifying opportunities for innovation, operational efficiency, and growth;
• Conduct workshops to identify opportunities to deliver value through automation solutions, digital transformation, enterprise platforms, and data analytics;
• Collaborate with technical teams, stakeholders, and external partners to translate business requirements into viable technology solutions;
• Foster the development of technology communities, promoting a culture of innovation and expanding knowledge, adoption, and solution development;
• Create and distribute communications (such as newsletters and blogs) to engage the community on technology and innovation topics;
• Monitor the technology trends radar and propose strategic initiatives based on that analysis;
• Evaluate the performance of initiatives and community events through impact analysis and feedback collection.

Senior Technology Product Manager

Cloud Engineer

• Design, implement, and evolve cloud-native platforms aimed at accelerating software delivery at scale;
• Develop and maintain an Internal Developer Platform (IDP), enabling secure and efficient self-service for development teams;
• Create and evolve Golden Paths for standardized provisioning of applications, infrastructure, environments, and pipelines;
• Administer and scale multi-cluster Kubernetes environments across multiple cloud providers, ensuring availability, security, and performance;
• Implement and maintain GitOps practices using tools such as ArgoCD, Argo Rollouts, and Kargo;
• Automate infrastructure through Infrastructure as Code (IaC) using Terraform, Terragrunt, and Crossplane;
• Develop and maintain reusable CI/CD templates, promoting standardization and governance of continuous delivery processes;
• Implement and manage API Management and Service Mesh solutions for distributed environments and modern architectures;
• Integrate authentication, authorization, and identity management mechanisms using modern IAM standards;
• Define and disseminate security, governance, compliance standards, and best practices for cloud environments;
• Build and evolve observability, monitoring, traceability, and troubleshooting solutions for platforms;
• Participate in FinOps initiatives, monitoring and proposing cost optimizations in multi-cloud environments;
• Lead modernization efforts for legacy applications toward cloud-native and microservices architectures;
• Support development teams in adopting Platform Engineering, DevSecOps, and Developer Experience (DevEx) practices;
• Serve as a technical reference for platform architecture, promoting continuous improvement, knowledge sharing, and the definition of corporate standards.

Cloud Platform Engineer – Specialist

Backend Engineer

• Responsible for providing technical solutions for new features and delivering necessary support for existing features.
• Expected to assist other team members with technical issues while ensuring the best solution for the business.
• We highly value quality, including clean, readable code (clean code).

Node Backend Developer – Junior

Data Scientist

• Develop optimization models using Operations Research techniques (with a focus on Mixed-Integer Linear Programming - MILP);
• Apply mathematical techniques to solve complex business problems;
• Conduct technical and economic feasibility studies;
• Apply Net Present Value (NPV) concepts in financial analyses;
• Work on process modeling involving reaction stoichiometry;
• Develop and integrate solutions via APIs;
• Ensure code quality through unit testing and coverage;
• Operate in cloud environments and collaborate with agile teams.

Senior Operational Research Data Scientist

Data Engineer

• Colaborar com as equipes de engenharia de dados para entender os requisitos e fornecer soluções eficientes;
• Atuar no desenvolvimento e sustentação das tecnologias Azure, Databricks (PysPark), Python, Data Lake e SQL;
• Utilizar Python ElementTree para manipulação eficiente de dados XML e integração de dados heterogêneos;
• Desenvolver scripts em Python utilizando Pandas para manipulação e análise de dados estruturados;
• Atuar com a disponibilidade, estabilidade e evolução contínua dos sistemas do cliente assegurando alta performance;
• Atuar com a parte de segurança e conformidade dos requisitos de negócio, por meio de uma gestão proativa, automação de processos e melhoria contínua dos serviços de sustentação;
• Trabalhar com a qualidade e integridade dos dados, implementando práticas de teste e monitoramento;
• Manter documentação técnica abrangente para os processos e soluções implementadas;
• Apoio com ações corretivas, suportando as entregas em produção, acompanhando CHGs;

Data Engineer, Databricks – Senior

• Collaborate with data engineering teams to understand requirements and deliver efficient solutions;
• Develop and maintain Azure, Databricks (PySpark), Python, Data Lake, and SQL technologies;
• Use Python ElementTree for efficient XML data handling and integration of heterogeneous data;
• Develop Python scripts using Pandas for manipulation and analysis of structured data;
• Ensure availability, stability and continuous evolution of client systems, ensuring high performance;
• Work on security and compliance for business requirements through proactive management, process automation, and continuous improvement of support services;
• Maintain data quality and integrity by implementing testing and monitoring practices;
• Keep comprehensive technical documentation for processes and solutions implemented;
• Support corrective actions, assist with production deliveries and monitor change requests (CHGs);

Data Engineer, Databricks

• Perform the complete migration of the current environment, today hosted on Databricks on Azure, to AWS, including creating a new data model and restructuring legacy pipelines and routines;
• Define and evolve the Corporate Data Platform architecture (Lakehouse);
• Ensure adherence to the target model based on AWS + Databricks;
• Define architecture standards, frameworks and best practices;
• Drive the definition of the migration strategy (waves, prioritization, dependencies);
• Migration and Modernization: Lead the modernization of the legacy Data Warehouse (Azure/DataStage → AWS/Databricks);
• Define migration approaches: Incremental vs Big Bang;
• Ensure operational continuity during the transition;
• Governance & Security: Define and implement standards for: Data governance/Access control/Data quality and lineage;
• Ensure compliance with corporate policies and LGPD (Brazilian data protection law);
• DataOps & Standardization: Structure standardized and reusable pipelines;
• Implement best practices for CI/CD for data;
• Reduce dependence on manual processes and low standardization;
• Integration and Ecosystem: Design integrations with multiple sources and on-premises systems;

Data Architect, AWS, Databricks

Solutions Engineer

• Lead the technical integration of the Anthropic API (Claude) into the IARA platform and the client's AWS infrastructure;
• Design and implement model access abstractions that standardize consumption across multi-cloud environments (AWS + Azure or GCP);
• Ensure interoperability between different model providers with centralized governance and traceability;
• Define technical standards for LLM consumption: context management, model versioning, provider fallback;
• Work with security teams to ensure compliance and governance for model usage in production;
• Contribute technical leadership to the platform roadmap based on real operational experience;
• Produce reference architectural documentation and conduct technical reviews and knowledge transfers with teams;

AI Solutions Architect – LLM, Multi-Cloud

• Work on development and enhancement projects for technology solutions in the financial sector;
• Participate in the construction and maintenance of business-critical systems;
• Develop and maintain integrations between services and the processing of financial transactions;
• Contribute to initiatives focused on platform scalability, performance and reliability;
• Develop REST APIs using Java and Spring Boot;
• Implement business rules for financial transfers and account transactions;
• Model and persist data using relational databases and Spring Data JPA;
• Ensure transactional consistency and handle concurrency in financial operations;
• Implement notifications after completed transfers;
• Write unit tests and document APIs using Swagger;
• Apply best practices in architecture, code versioning and technical documentation.

Java Back-End Developer – Mid

Product Designer

• Immerse in the operation by conducting shadowing (observation) sessions, interviews and usability tests with agents to understand current system usage;
• Prototype solutions by creating flows, wireframes and high-fidelity prototypes in Figma, respecting—and when necessary challenging—Salesforce patterns;
• Collaborate with Product Managers and Developers to ensure designs are technically feasible and meet business KPIs, such as reducing Average Handling Time (AHT);
• Map journeys by creating Service Blueprints and interaction flows to represent service scenarios;
• Advocate for internal users, serving as the voice of agents in the squad’s product decisions.

Product Designer – UX/UI

Public Relations

• Apoiar a evolução e sustentação do programa de Voice of Customer (VoC)
• Analisar dados de NPS, CSAT, CRM e indicadores operacionais, identificando oportunidades de melhoria
• Acompanhar KPIs e apoiar na construção de planos de ação
• Conduzir e apoiar reuniões recorrentes com áreas parceiras
• Mapear jornadas e processos, identificando gaps e melhorias
• Atuar na implementação de melhorias junto às áreas de negócio
• Apoiar iniciativas de Close the Loop, garantindo tratativas e evolução da experiência
• Construir apresentações e reports com foco em clareza e objetividade
• Trabalhar em conjunto com áreas de CX, operações e tecnologia

Senior CX Analyst – VoC, Customer Insights

Product Analyst

• Levantamento de requisitos funcionais em colaboração com áreas de negócios e usuários;
• Mapeamento de processos existentes e confecção de fluxos para novas soluções de negócios;
• Elaborar e gerenciar cronogramas, dependências e status de projetos;
• Participação ativa em agendas com áreas internas, principalmente com Estratégia de Crédito e Cobrança, TI, Dados e Produtos de Crédito, além de fornecedores e stakeholders de nível executivo;
• Execução de atividades para sustentação dos pilotos e processos, incluindo extração de dados em ferramenta como Databricks;
• Participar de testes de implantação;

Financial Product Analyst – Senior

Risk

• Work in partnership with the client's Data Teams to support Data Governance initiatives;
• Contribute to the development of data quality, governance, cataloging and data organization practices;
• Support the management of technical and business metadata;
• Participate in defining, reviewing and standardizing governance processes, artifacts and best practices;
• Work on initiatives related to data quality, master data and data lineage;
• Support conceptual, logical, physical and dimensional data modeling activities;
• Contribute to the cataloging, documentation and qualification of data assets;
• Support technical and functional discussions with business and technology stakeholders;
• Promote greater traceability, reliability and value of corporate data.

Data Governance Analyst – Mid

Sales

• Liderar, desenvolver e acompanhar a performance da equipe comercial, promovendo uma cultura de alta performance e accountability.
• Atuar diretamente em negociações estratégicas e oportunidades de grande porte, conduzindo ciclos de vendas complexos do início ao fim.
• Desenvolver e fortalecer relacionamentos com executivos C-Level de clientes e parceiros.
• Construir estratégias de crescimento para contas e verticais de mercado, identificando oportunidades de expansão e geração de receita.
• Elaborar e defender business cases, propostas comerciais e apresentações executivas.
• Atuar como ponto de escalonamento para temas comerciais que demandem alinhamento com áreas internas, como Delivery, Operações, Pessoas e Finanças.
• Trabalhar em parceria com times técnicos e de delivery para construção de soluções aderentes às necessidades dos clientes.
• Garantir previsibilidade de receita por meio da gestão de pipeline, forecast e acompanhamento de indicadores comerciais.
• Conduzir negociações multinível em organizações de grande porte e ambientes corporativos complexos.
• Representar a companhia em eventos, reuniões estratégicas e iniciativas junto ao ecossistema Salesforce.
• Contribuir para a evolução dos processos comerciais, metodologias de vendas e governança de CRM.
• Atuar de forma hands-on na geração, desenvolvimento e fechamento de oportunidades estratégicas.