About the role

Engineering Manager leading multidisciplinary teams in AI-driven product development for CI&T Flow platform. Ensuring collaboration, innovation, and delivery of scalable digital solutions.

Responsibilities

Lead engineering teams in creating and evolving new products within the CI&T Flow platform, using AI agents (Chat, Steps, Maker, Coder, Ops, and others) to deliver hyper-productive, secure, and scalable digital solutions.
Connect product, technology, and people, ensuring teams deliver end-to-end business value.
Ensure the architecture evolves sustainably and that the engineering culture remains strong, modern, data-driven, and focused on continuous experimentation and innovation.
Foster data-driven decisions, A/B testing, feature flags, and rapid feedback loops to validate hypotheses and iterate on features.
Ensure a highly collaborative environment with autonomy and accountability, results orientation, and a culture of experimentation.
Partner with Product Managers and Designers to define the vision, roadmap, and priorities for products and features.

Previous experience as an Engineering Manager, Engineering Lead, or Tech Lead with people management responsibilities.
Strong software development experience and knowledge of modern architecture.
Hands-on experience with agile methodologies (Scrum, Kanban, Lean) applied to product teams.
Experience building or evolving digital products in high-complexity or high-scale environments.
Experience working in product squads or multidisciplinary teams focused on outcomes (not just outputs).
Familiarity with product frameworks such as Lean Startup, Continuous Discovery, Design Thinking, and Jobs to be Done (JTBD).
Experience defining and tracking OKRs, product metrics (adoption, retention, NPS, CSAT, etc.), and business KPIs.
Experience with hypothesis testing, controlled experiments, A/B testing, feature flags, and MVP validation.
Ability to apply value engineering (Value Stream Mapping, Impact Mapping) to prioritize high-impact initiatives.
Experience using data (analytics, usage metrics, qualitative feedback) to guide product and engineering decisions.
Knowledge and hands-on experience with technologies such as Python (backend development, automation, AI/ML) and TypeScript/JavaScript (Node.js, modern frontend frameworks like React, Next.js, or Vue.js).
Familiarity with other languages such as Go, Java, or Rust is a plus.
Knowledge of cloud-native architecture, serverless, containers (Docker), and orchestration (Kubernetes).

Health and dental insurance;
Meal and food allowance;
Childcare assistance;
Extended parental leave;
Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) and TotalPass;
Profit Sharing (PLR);
Life insurance;
Continuous learning platform (CI&T University);
Employee discount club;
Free online platform dedicated to promoting physical and mental health and wellbeing;
Pregnancy and responsible parenthood courses;
Partnerships with online course platforms;
Language learning platform;
And many others