Localiza&Co

• Development and maintenance of Sofit View (fleet management SaaS): • Implement new features and enhance existing functionality in the system’s APIs and interfaces; • Fix bugs reported via internal tickets or identified through proactive monitoring; • Develop ad-hoc scripts for operational tasks or bulk corrections. • Monitor the health and performance of Sofit View APIs and databases; • Collaborate to identify and resolve performance bottlenecks; • Use tools such as CloudWatch, New Relic and MongoDB logs for investigation and diagnostics. • Participate in the team’s agile ceremonies, including dailies, plannings, retrospectives and refinements; • Collaborate on code reviews to ensure development best practices and maintainability; • Work closely with the product team and other developers to continuously evolve the application.

• Realizar a gestão do produto digital; • Realizar discoverys para encontrar oportunidades de aumento de receita, redução de custos e aumento do encantamento; • Realizar a operação do produto, olhando para as principais métricas (KPIs e KRs); • Realizar gestão dos stakeholders; • Ser o agente facilitador entre Labs e Negócios; • Propor melhorias para o produto digital e para a área de produtos (Evolução da maturidade); • Auxiliar no desenvolvimento dos pares; • Realizar o planejamento do produto com arvore de métricas, roadmap, memos etc.

• Develop analyses, Machine Learning models, and solutions using Generative AI; • Participate in building applications based on LLMs, such as RAG solutions, internal assistants, automations, and text classification; • Perform data exploration, hypothesis definition, model evaluation, and generate business insights; • Support deployment and monitoring of models and analytical solutions in production environments; • Collaborate with data engineers, product teams, and business areas to translate problems into data-driven solutions; • Document analyses, models, experiments, and key technical decisions.

• Lead FinOps initiatives, promoting governance, financial efficiency and cost transparency for cloud services • Manage the financial operations of AWS, Azure, GCP and other platforms used by the organization • Conduct consumption analyses, identify variances, trends and optimization opportunities • Prepare forecasts, support budget planning and monitor the financial execution of cloud investments • Develop metrics and executive dashboards to track costs, consumption and operational efficiency • Support the definition and evolution of Showback, Chargeback and Cost Allocation models • Partner with Engineering, Architecture and Product teams to embed financial efficiency into technical decisions from the start of the development cycle • Lead optimization initiatives related to Savings Plans, Reserved Instances and other cost-reduction mechanisms • Automate financial analysis and management processes using Artificial Intelligence • Facilitate meetings with technical and executive stakeholders • Promote FinOps culture by sharing best practices, providing training and driving continuous improvement.

• Atuar de forma transversal dentro do Labs, estruturando problemas complexos, conduzindo diagnósticos e propondo planos de ação com impacto direto nas iniciativas estratégicas da diretoria; • Compor a torre analítica da diretoria de agilidade e transformação, sendo responsável pelo acompanhamento de indicadores, construção de análises críticas e geração de insights orientados à tomada de decisão; • Elaborar materiais executivos de alta qualidade, apresentações, memos e relatórios para a diretoria e demais stakeholders, com clareza, coesão e storytelling; • Influenciar e articular junto a diferentes áreas do negócio, construindo alinhamentos, desbloqueando impasses organizacionais e mobilizando pessoas sem depender de autoridade formal; • Participar do planejamento trimestral do Labs, incluindo a organização do PI Planning e o acompanhamento da execução das iniciativas; • Apoiar o planejamento estratégico da empresa, conectando dados e análises aos objetivos do negócio e identificando oportunidades de geração de valor; • Conduzir iniciativas de inovação e transformação, desde a avaliação de oportunidades, desenvolvimento de pilotos e cálculo de ROI, até a implementação e acompanhamento de resultados.

• We are looking for a Product Owner Specialist responsible for leading the strategy, evolution, and sustainment of critical financial products, working with high autonomy and directly impacting business results. • Key role in defining and evolving the end-to-end payments journey, ensuring scalability, operational efficiency, security, and excellence in customer experience. • Drive the payments product strategy, connecting business vision, technology, and customer experience. • Define and evolve the short-, medium-, and long-term roadmap, with a focus on value creation and financial results. • Manage and prioritize the product backlog, balancing value, effort, and risk. • Define releases, MVPs, and incremental delivery strategies, ensuring continuous learning. • Build and refine user stories together with the engineering team.

• Work in a Hyper Automation Center of Excellence (CoE) • Actively contribute to the implementation and consolidation of the Intelligent Automation CoE • Support the definition and enforcement of technical and architectural automation standards • Act as a technical reference, ensuring consistency across platforms, teams and solutions • Design and implement solutions in ServiceNow, including App Engine, Flow Designer, IntegrationHub, ITSM and Service Catalog • Evaluate and support the adoption of new platform features • Use platforms' native AI and GenAI capabilities • Structure solutions with a focus on reuse, scalability and technical sustainability • Plan activities, technical estimates and schedules • Manage backlog, epics, features and tasks in Azure DevOps • Communicate status, risks, impediments and technical decisions clearly

• We are seeking a Specialist Data Scientist with a strong foundation in applied statistics and experimental methods. Your mission will be to conduct deep exploratory analyses, design robust experiments including A/B tests, quasi-experiments and counterfactual analyses, and support evidence-based strategic decisions. • As part of the team, you will be responsible for designing experiments, developing Machine Learning and AI models, validating business hypotheses, and turning complex data into clear, actionable insights. • Your work will focus on topics such as customer retention (churn) and extracting value from the customer base, supporting strategic and product decisions. A leadership-oriented stance is expected, contributing not only in technical execution but also in defining analytical approaches and advancing the use of data across the business. • Plan, execute and analyze multivariate A/B tests, quasi-experiments, and counterfactual analyses, ensuring statistical validity and practical relevance; • Conduct detailed exploratory analyses to discover patterns, trends and optimization opportunities; • Lead statistical modeling and causal inference projects, translating results into business recommendations; • Serve as the technical reference for statistics and experimentation within the team; • Propose and implement frameworks for experiment monitoring and impact metrics; • Collaborate with business, product and operations teams to define hypotheses and structure tests collaboratively; • Ensure clear documentation and accessible communication of results for non-technical stakeholders; • Develop machine learning models focused on generating value for the company and our customers.

• Serve as a technical reference, defining scalable, resilient, and sustainable architectures; • Make complex technical decisions, evaluating trade-offs between performance, cost, and scalability; • Take end-to-end ownership of critical, high-volume systems; • Provide technical support to other developers, promoting best practices and code quality; • Ensure continuous evolution of the architecture, observability, and reliability of systems; • Contribute to defining standards, guidelines, and the technical direction of the platform.

• Desenvolver e evoluir soluções backend em .NET; • Atuar na manutenção e modernização de sistemas, incluindo refatorações e melhorias estruturais; • Desenvolver e integrar APIs, garantindo performance, segurança e qualidade; • Implementar testes automatizados (unitários e de integração); • Contribuir com decisões técnicas e melhorias de arquitetura junto ao time; • Atuar nos ritos ágeis, colaborando com o planejamento e entrega contínua; • Identificar oportunidades de melhoria e redução de complexidade nos sistemas.