Sênior Engineering Manager - Local Comm

Sênior Engineering Manager- Local Comm

Brasil

Your Daily Menu:

• Establish the long-term technical vision, leading the transition from the current operation to a scalable and autonomous platform.
• Actively promote the development of team leaders and engineers, reducing the reliance on junior profiles and forming the next generation of technical leaders.
• Lead with agility and clarity the leadership decisions of people — including performance evaluation and team structure — with a sense of urgency and responsibility.
• Act as a qualified technical counterpoint to the product team, balancing engineering depth with business insight to ensure decisions of greater impact.
• Lead the intentional adoption of AI in the day-to-day development, increasing the productivity and delivery capacity of teams in a sustainable way.
• Ensure the operational excellence of the Billing and Reconciliation teams, which have direct financial responsibility for transfers and accounting for iFood partners.

Ingredients We Look For:

• Solid experience in high-volume systems and transactional demand, with the ability to delve into technical problems of architecture, performance, and reliability.
• Experience with platform products that involve user authentication and authorization, as well as anti-fraud systems using AI models (preferred).
• Previous experience managing other engineering managers, knowing when to delegate depth and when to delve in directly.
• Ability to transition between deep technical and product vision, contributing to backlog decisions, prioritization, and strategy with the PM team.
• Applied knowledge in AI to scale productivity, with the ability to develop the team in the intentional adoption of tools and practices based on AI.
• Familiarity with billing and financial reconciliation domains is a plus, but not a prerequisite — there are business team experts to support these areas.

To Enhance the Flavor:

• Experience with companies with large-scale platforms, marketplaces, or digital identity and payment ecosystems.
• Delivery in scenarios of restructuring or transformation of teams and platforms.
• Experience with the use of machine learning models or AI.