Engineering Manager

• Gerenciar e desenvolver um time de engenheiros(as), promovendo um ambiente de trabalho colaborativo, inclusivo e de alto desempenho.
• Construir o direcionamento tático da sua área, alinhado à estratégia da organização.
• Garantir que os projetos sejam entregues com qualidade, dentro do prazo e do orçamento, através de uma comunicação eficaz e alinhamento de expectativas.
• Atuar como ponto de referência para o time, removendo impedimentos e facilitando a tomada de decisão.
• Promover o crescimento profissional do time, através de feedbacks contínuos, oportunidades de aprendizado e desenvolvimento de carreira.
• Participar ativamente do processo de recrutamento, atraindo e selecionando os melhores talentos para o time.
• Fomentar uma cultura de melhoria contínua, buscando sempre otimizar processos e práticas.

Software Engineering Manager I

• Lead and develop multidisciplinary teams (Mobile and Backend), conducting 1-on-1s, development plans (PDP), performance reviews, and talent retention.
• Translate and cascade the company's strategic plans to the team, ensuring technical direction is aligned with business objectives.
• Ensure the delivery of end-to-end solutions, from in-app experience to robust backend services, working closely with Product Managers (PMs), Product Designers, and other leaders.
• Facilitate communication between technical teams and business areas, ensuring transparency, deadline visibility, and aligned expectations.
• Foster an environment of psychological safety, collaboration, and continuous feedback, acting as an ambassador for Stone's culture.
• Encourage technical excellence through best practices (Clean Code, clean architecture, CI/CD, DevSecOps, use of RFCs, and a documentation culture).
• Monitor OKRs and team and product health metrics (mobile delivery cycle metrics and DORA metrics for backend).
• Handle ambiguous scenarios, distributed architectures, and challenging prioritizations, balancing delivery speed and technical debt.

Software Engineering Manager

• Lead, contribute to and empower the growth of your direct reports;
• Drive software engineering to be an enabling and strategic function for the product;
• Create a challenging and inspiring environment that helps retain, attract and hire top talent;
• Promote a collaborative, close-knit culture that encourages feedback and continuous improvement;
• Participate in building and guiding the cross-functional strategy so that technology, processes, tools and capacity are aligned;
• Foster and evolve our engineering culture and strategy;
• Lead initiatives aimed at improving the experience of our engineers (DevEx);
• Build, promote and evolve software engineering standards and guidelines;
• Guide and sponsor proofs of concept;
• Foster and advance Research & Development (R&D);
• Direct the technical evolution of our software;
• Build strong working relationships with product leaders to jointly define strategies to achieve objectives;
• Monitor, promote and evolve engineering metrics with the goal of continuous improvement and value delivery.

Software Engineering Management

• Provide technical guidance to teams and projects for international clients
• Work alongside Data Scientists, Data Engineers, and AI Engineers in data and AI projects
• Lead and mentor cross-functional engineers to deliver high-quality solutions while fostering collaboration and growth.
• Support strategy teams in identifying and implementing robust AI and data strategies to solve business challenges.
• Stay up-to-date with Data & AI trends, tools and frameworks, introducing innovations and process improvements to teams when appropriate.
• Maintain strong relationships with clients and internal teams, advocating for the best use of AI and Data practices

Manager, Data Science – AI Engineering

• Lead and develop engineering teams with a focus on high performance and individual growth.
• Understand the company’s strategic and operational plans, propagating and connecting technical direction aligned with the strategy.
• Ensure delivery of technical solutions aligned with business needs, in partnership with PMs, Designers and other leaders.
• Facilitate communication between technical teams and stakeholders, ensuring transparency and alignment.
• Promote a collaborative environment, psychological safety and continuous feedback.
• Ensure the development of technical strategies for the team’s domains, promoting engineering best practices (Clean Code, TDD, CI/CD, DevSecOps).
• Participate in the definition and tracking of OKRs and technical metrics (lead time, stability, test coverage, etc.).
• Encourage Inner Source initiatives, use of RFCs and a living documentation culture.
• Tackle ambiguous problems and difficult prioritization, balancing deadlines and quality.
• Be influential in decision-making with the team regarding solution details.
• Ensure product/platform quality, scalability and engineering best practices.
• Define, collect, analyze and monitor application/product health metrics.

• Lead software development teams and other engineering leaders
• Plan and propose new solutions together with the team
• Collaborate with product and design teams on the definition of new features
• Create and maintain service documentation
• Improve the team's delivery maturity and capacity

Engineering Manager II

• Technical and People Leadership: Lead an engineering squad promoting technical excellence, autonomy, and accountability, developing engineers through continuous feedback, mentoring, and growth plans.
• Delivery and Product Impact: Ensure consistent delivery of solutions that create real product and business impact, balancing speed, quality, reliability, and scalability.
• Software Architecture and Quality: Actively participate in architectural decisions, define technical standards, and ensure systems are resilient, secure, and easy to evolve.
• Agile Planning and Execution: Facilitate planning, prioritization, and execution of the squad's work, remove blockers, and ensure alignment with Product, Design, and other stakeholders.
• Engineering Excellence: Promote best practices such as code reviews, automated testing, CI/CD, observability, monitoring, and continuous improvement of code quality and system performance.
• Data-Driven Decision Making: Use engineering metrics (e.g., lead time, throughput, availability, quality) to guide technical and process decisions.
• Cross-functional Collaboration: Serve as a bridge between engineering, product, and business, ensuring clear communication, strategic alignment, and focus on the end customer.
• Platform Evolution: Contribute to the evolution of architecture and platform, supporting initiatives for scalability, security, performance, and reliability.
• Recruitment and Team Building: Actively participate in attracting, selecting, and onboarding talent, helping to build diverse, technically strong teams aligned with company culture.
• Culture and Continuous Improvement: Encourage a culture of continuous learning, experimentation, technical responsibility, and ownership.

• Lead the development of intelligent agents and workflows using LLMs
• Define architecture for scalable, resilient generative AI systems
• Collaborate with product and business teams to define solutions
• Ensure engineering best practices, observability, performance, and quality
• Support and technically develop the engineering team
• Make decisions considering:
• inference cost
• latency
• output quality
• scalability
• security and governance.

AI Manager / Head of AI / AI Engineering Manager

• Define and execute the Cloud and Platform strategy, ensuring alignment with corporate objectives, regulatory frameworks, and cost-efficiency goals.
• Lead a multi-disciplinary organization covering Cloud Infrastructure, SRE, Platform Engineering, and DevSecOps, fostering collaboration and shared accountability for uptime, security, and performance.
• Drive modernization of infrastructure and delivery pipelines, enabling a unified, automated, and compliant cloud environment.
• Partner with executive leadership to define scalable operating models, balancing autonomy for product squads with standardized guardrails and golden paths.
• Establish a long-term architectural vision for cloud services, platform frameworks, and developer enablement tools.
• Sponsor AI-assisted engineering adoption to enhance developer productivity, reduce toil, and accelerate delivery (e.g., Copilot, Cursor, LLM-based agents).
• Serve as the ultimate technical and strategic authority for AWS, Kubernetes, IaC, Observability, and Reliability practices across the organization.
• Oversee the design, scalability, and governance of the AWS multi-account organization, enforcing security, compliance, and cost policies (Control Tower, SCPs, Service Catalog).
• Lead the definition and implementation of multi-region, multi-environment architectures ensuring reliability, latency optimization, and disaster recovery readiness (RPO/RTO).
• Institutionalize well-architected principles (Security, Reliability, Performance, Cost, Sustainability) and drive continuous improvement programs based on regular audits.
• Evolve network and connectivity architectures (VPC, Transit Gateway, PrivateLink, Global Accelerator) to meet scaling, compliance, and availability goals.
• Own identity, access, and secrets management lifecycle (IAM least privilege, mTLS, KMS/HSM key rotation, Vault integration).
• Oversee monitoring and observability frameworks, implementing standards, and unified dashboards across all services.
• Ensure SLO-driven operations, with well-defined SLIs, error budgets, and automated incident management loops.
• Lead resilience and reliability engineering practices, including chaos engineering, failover drills, dependency fallback design, and proactive degradation handling.
• Build and scale the company’s Internal Developer Platform (IDP), empowering teams with self-service capabilities for environment provisioning, deployments, and observability.
• Define golden paths, opinionated tooling, and reusable infrastructure modules, enabling consistent, secure, and fast software delivery across squads.
• Ensure trunk-based development, progressive delivery (canary, blue/green), automated rollback, and health/SLO-gated deployments are embedded into CI/CD flows.
• Drive GitOps adoption to achieve deterministic deployments, auditability, and drift detection.
• Expand event-driven and streaming platforms (e.g., Kafka), defining keying, partitioning, and schema evolution strategies to support scalability and data integrity.
• Partner with Security and Compliance to embed DevSecOps and Policy-as-Code practices into CI/CD and Kubernetes admission controllers.
• Establish and lead a FinOps program, optimizing compute, storage, and data transfer costs while ensuring transparency through chargeback/showback models.
• Define cost-to-serve models per service and implement automated guardrails for budgeting and right-sizing.
• Integrate cost and performance telemetry into platform dashboards to drive data-informed decision-making.
• Partner with Finance to align cloud spend forecasts and track savings initiatives tied to architecture decisions.
• Lead and mentor senior engineering managers and principal engineers, building high-performance, high-accountability teams.
• Promote a culture of reliability, automation, and continuous improvement through transparent metrics and post-incident learning loops.
• Establish governance rhythms such as architecture councils, platform guilds, and reliability reviews to align technical direction and eliminate systemic friction.
• Collaborate closely with Risk, Compliance, and Security to uphold standards like PCI-DSS, SOC2, ISO27001, LGPD, and GDPR within cloud and platform operations.

Head of Engineering – Cloud & Platform

• Lead and manage technology teams
• Develop and implement technology strategies aligned with business objectives
• Facilitate communication between technical and non-technical teams
• Promote the adoption of software development best practices
• Ensure the quality and security of developed solutions

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