IEBT Innovation

Data Scientist

• Support the collection, organization, cleaning, and analysis of structured and unstructured data.
• Assist in the development and validation of Machine Learning models under the guidance of the team.
• Contribute to statistical analyses to support studies and decision-making.
• Develop reports and dashboards to present metrics and results.
• Collaborate with data and technology teams in preparing and processing datasets.
• Document analyses, processes, and project results.

Data Science Trainee

Product Manager

• Colaborar com Equipes Técnicas: Trabalhar em estreita colaboração com as equipes de desenvolvimento, fornecendo orientação e esclarecendo dúvidas sobre os requisitos de um produto puramente back-end.
• Utilizar ferramentas de IA para apoiar análises, refinamentos, documentação, testes de hipóteses, entendimento de fluxos e aumento de produtividade no ciclo de produto;
• Definir a Visão do Produto: Trabalhar em estreita colaboração com stakeholders para definir uma visão clara e abrangente para o produto.
• Identificar oportunidades de aplicação de IA no produto, nos processos internos e na experiência do cliente, avaliando ganhos de eficiência, automação e melhoria contínua;
• Priorizar o Backlog do Produto: Priorizar e gerenciar o backlog do produto com base nas necessidades e no valor do cliente.
• Participar de reuniões diárias de scrum e revisões de sprint para garantir o progresso do desenvolvimento.
• Desenvolver User Stories e Requisitos: Escrever e refinar user stories e requisitos do produto, garantindo que sejam claros, completos e compreensíveis para a equipe de desenvolvimento.
• Avaliar continuamente o progresso do produto e realizar ajustes no backlog conforme necessário. Realizar demonstrações do produto para stakeholders e obter feedback para orientar iterações futuras.

Product Owner, Pleno

Full-stack Engineer

• Work on the product core: from Vue components to the PHP microservices that support each transaction.
• Develop end-to-end features
• Implement and evolve Design System components
• Build and maintain PHP microservices using Hyperf
• Produce and consume messages on queues (RabbitMQ/Kafka), ensuring reliable asynchronous communication
• Implement resilience patterns (retry, fallback, circuit breaker) in critical flows
• Investigate and fix errors using Sentry, preventing regressions before they reach users
• Instrument product events (Mixpanel) to provide visibility into usage and behavior
• Participate in code reviews and technical discussions with the autonomy to propose solutions
• Own the full cycle: requirements → implementation → testing → review → post-deploy

Full Stack Developer – Mid-level

• Define product vision and strategy: Build and communicate the product vision, objectives and roadmap in partnership with stakeholders, connecting customer needs, business priorities and technical feasibility.
• Lead discovery and prioritization: Identify problems and opportunities, validate hypotheses and prioritize the roadmap and backlog based on data, impact, effort, risks, dependencies and customer value.
• Work with technical teams: Collaborate closely with development, architecture, data and SRE teams, providing context, clarifying requirements and participating in discussions about APIs, integrations, databases, security, observability, scalability and technical debt.
• Structure requirements and deliveries: Create and refine epics, user stories, business rules and acceptance criteria, ensuring clarity about the problem, scenarios, dependencies and expected outcomes.
• Track results: Define and monitor product, business, operational and customer experience metrics, evaluate the impact of deliveries and propose continuous improvements.
• Manage stakeholders: Lead alignments with technical, operational and executive areas, negotiate priorities, communicate risks and make decisions about scope, schedule and quality.
• Apply AI in the product lifecycle: Use AI tools to support discovery, data analysis and feedback, documentation, requirement refinement, hypothesis testing, automation and productivity enhancement.
• Exercise product leadership: Act as a reference for the team, anticipate risks, support less-experienced professionals and contribute to the evolution of product practices and culture.

Senior Product Owner

• Generalist professional to work across simultaneous fronts in web development and data analysis
• Expected autonomy to move between product layers (frontend, backend, database) and analytical deliverables (BI, dashboards, data cleaning)

Full Stack Developer, Data

QA Automation Engineer

• Develop, maintain, and execute automated regression tests
• Work on test automation for Mainframe applications (COBOL, batch jobs, and online systems) and .NET (services, console applications, and APIs)
• Validate integrations between systems and ensure delivery quality across different platforms
• Perform queries and validations in DB2 databases
• Support identification, analysis, and resolution of defects during the testing cycle
• Collaborate with development, business, and QA teams to ensure efficient testing processes

Regression Test Automation Analyst

• Design and develop features for Python applications and web applications using JavaScript and ReactJS, with solid coverage of unit and end-to-end tests (pytest, Playwright)
• Work with AWS services (Lambda, S3, DynamoDB, Aurora, etc.), perform deployments with Docker, and write SQL queries
• Actively participate in code reviews, contributing to code quality and the team's coding standards
• Contribute to analysis, debugging, troubleshooting, and technical support
• Collaborate in the team's technical discussions, proposing solutions and evaluating alternatives
• Participate in the full software development lifecycle (SDLC)

Mid-level Full Stack Developer, Health Tech

• Act as a hands-on technical reference for the team, designing robust and scalable architectural solutions.
• Ensure the squad's technical quality through code reviews, promotion of automated testing, and ongoing technical mentorship.
• Design and lead the implementation of complex system integration strategies (via APIs, Webhooks, queues and message buses).
• Ensure the application of modern architectural patterns (Clean Architecture, microservices, event-driven architecture).
• Decide, together with engineering and the client, on the best cloud infrastructure setup, with a focus on security, high availability, and cost optimization.

Tech Lead

• Explore, clean, and analyze large volumes of data (structured and unstructured) to identify patterns, anomalies, and opportunities.
• Develop, train, and validate predictive and prescriptive Machine Learning models (regression, classification, clustering, time series, etc.).
• Create rigorous statistical analyses and hypothesis tests to validate business assumptions.
• Translate complex mathematical metrics into reports and dashboards (Data Storytelling) for technical and non-technical stakeholders.
• Collaborate with data engineers to design efficient data pipelines that feed models in a scalable way.

Junior Data Scientist

AI Engineer

• Develop and deploy Generative Artificial Intelligence systems and multi-agent AI agents (stateful and autonomous).
• Design and optimize RAG (Retrieval-Augmented Generation) architectures using vector databases to build intelligent knowledge bases.
• Develop and test advanced prompt engineering strategies, few-shot prompting techniques, and fine-tuning approaches for foundation models.
• Collaborate on building robust connectors and APIs to integrate AI models with enterprise systems such as CRMs, ERPs, and e-commerce platforms.
• Ensure governance, security, reduction of hallucinations, and cost optimization for LLM API calls.

• Desenvolver e manter automações utilizando Python.
• Criar automações Web e Desktop para diferentes processos de negócio.
• Desenvolver integrações entre sistemas utilizando APIs, arquivos e bancos de dados.
• Participar da construção de soluções utilizando Inteligência Artificial para interpretação de documentos, textos e dados.
• Implementar regras de negócio e validações dentro dos fluxos automatizados.
• Corrigir falhas e evoluir automações existentes, garantindo estabilidade e confiabilidade.
• Implementar logs, tratamento de exceções e mecanismos que facilitem o monitoramento das automações.
• Trabalhar em conjunto com o time na identificação de melhorias e novas oportunidades de automação.
• Documentar as soluções desenvolvidas para facilitar sua manutenção e evolução.
• Aprender continuamente novas tecnologias e boas práticas relacionadas a automação e IA.

Analista Desenvolvedor de Automação Inteligente

Product Designer

• Support the creation of user flows, wireframes, prototypes, and interfaces in Figma
• Participate in user research and usability testing
• Collaborate on the maintenance and evolution of the platform’s Design System
• Attend meetings with Product, Technology, and Business teams to understand the process for defining new features
• Contribute to visual consistency across the platform’s products

UX Designer – Intern/Trainee

Business Analyst

• Atuar no dia a dia da gestão operacional de produtos financeiros
• Apoiar no mapeamento e evolução de processos
• Identificar gaps operacionais e oportunidades de melhoria
• Atuar como referência interna sobre o funcionamento dos produtos

Analista de Negócios – Produtos Bancários

• Design the user experience for Zing platform products and modules;
• Create user journeys, flows, wireframes, prototypes, and high-fidelity interfaces;
• Conduct user research and usability testing;
• Evolve and maintain the Design System;
• Collaborate with Product, Technology, and Business teams to define new features;
• Ensure visual and UX consistency across all platform products.

Junior UX/UI Designer

• Lead technical pre-sales meetings with mid-market and enterprise clients
• Design and architect modern solutions using GCP's data and AI ecosystem
• Define technical project scope and estimate delivery effort
• Develop rapid prototypes and proof-of-concepts
• Act as the technical arm of the sales team
• Stay up to date and represent IEBT in Google Cloud partner forums