VP R&D

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🕒 Julho 28

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Finagra

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2025

🌾 Agricultura

💳 Fintech

Agriculture • Fintech

A Finagra é uma operadora de agronegócio que constrói e gerencia fazendas lucrativas em mercados emergentes, combinando capital, agronomia, tecnologia e empreendedorismo local. Ela financia insumos acordados, equipamentos e infraestrutura agrícola, fornece planos de cultivo e ferramentas digitais de agronomia, além de se associar a Parceiros Rurais Empreendedores (REPs) locais, que gerenciam operações e compartilham lucros (por exemplo, 30% de participação no lucro líquido). A Finagra também conecta a produção aos compradores e gerencia o sistema de operação das fazendas; atualmente, está ativa no Quênia e se preparando para expansão na Índia.

Descrição

• Own the technical architecture, engineering roadmap and delivery of FinAgra’s platform. • Build reliable AI-driven workflows that combine rules, structured data, automation and human decision-making. • Design modular and testable systems for operational planning, execution, exception handling and continuous replanning. • Ensure that automated decisions are explainable, auditable and grounded in approved data and rules. • Define clear integrations and data ownership across internal and third-party systems. • Establish strong engineering practices around testing, deployment, observability, security and production reliability. • Lead and develop the existing engineering team while remaining technically hands-on. • Recruit and build the broader R&D organization as the company scales. • Work with Product and operational teams to translate complex real-world processes into practical software.

🎯 Requisitos

• Experience as a VP R&D, Head of Engineering, Engineering Director, technical founder or similar senior technical leader. • Strong hands-on background in backend engineering and software architecture. • Experience building AI-driven operational systems, intelligent automation, agentic workflows or decision-support platforms. • Experience combining AI or LLM-based reasoning with deterministic logic, rules engines or structured workflows. • Experience with distributed systems, APIs, data architecture and cloud infrastructure. • Experience building systems where reliability, approvals, traceability and auditability are important. • Demonstrated ability to lead a small engineering team and deliver complex products in a startup environment. • Strong communication skills and the ability to work closely with non-technical domain experts.

🏖️ Benefícios

• A central role in building the digital infrastructure of two markets from the ground up • Direct impact on business outcomes — without layers of bureaucracy • Work at the intersection of agribusiness and enterprise technology • Competitive compensation aligned with market rates • Flexible working arrangement