Remote Engineering Manager (Brazil)

Divine Match Talent; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A dynamic technology startup based in São Paulo is looking for an Engineering Manager to lead AI and platform engineering teams. This role involves overseeing a team of engineers while driving technical strategy and product excellence. The ideal candidate will have extensive software engineering experience and strong leadership skills. The position offers competitive compensation, unlimited time off, and flexible hours.

Serviços

Competitive compensation

Unlimited time off

Flexible working hours

Qualificações

• 8+ years of software engineering experience including management or tech lead roles.
• Proven experience leading teams across distributed locations.
• Strong knowledge of backend and AI systems.

Responsabilidades

• Lead and retain a high-performing engineering organization.
• Define technical strategy covering architecture and reliability.
• Drive engineering processes including sprint planning and reviews.

Conhecimentos

Technical leadership

Backend systems knowledge

AI systems understanding

Team management

Effective communication

Formação académica

MS or BS in Computer Science

Ferramentas

Python

AWS

Kafka

Postgres

DynamoDB

Descrição da oferta de emprego

About the Client

Client is a VC-backed Series B startup shaping the future of conversational commerce in Latin America using AI-powered solutions delivered inside popular messaging platforms.

Role Summary

As an Engineering Manager, you will lead one of the client's core AI and platform engineering teams. Reporting to the CTO, you will oversee a high-performing group of 10-20 engineers, combining people management, technical strategy, and hands‑on execution. You will drive engineering culture, architectural excellence, product delivery, and talent growth in a dynamic, distributed startup environment.

Responsibilities

• Lead, grow, and retain a high-performing engineering organization (10-20 people) across multiple locations.
• Provide technical leadership and define strategy with the CTO, covering architecture, infrastructure design, AI scalability, and reliability.
• Stay hands-on with system design, code reviews, and architectural decisions impacting quality and stability.
• Own the quality, reliability, and performance of the product, ensuring strong testing practices and operational excellence.
• Drive engineering processes, including sprint planning, technical reviews, postmortems, and continuous improvement.
• Partner with Product Management and Sales to deliver launches, meet business metrics, and enable successful enterprise deployments.
• Engage with enterprise customers to design complex integrations with third‑party systems (e.g., Meta APIs, CRMs, and eCommerce platforms).
• Own hiring, development, and evaluation of engineers : give feedback, conduct reviews, and create growth plans.
• Cultivate emerging leaders, fostering a culture of ownership, accountability, and innovation.
• Build systems, processes, and talent that scale beyond your direct team.

Requirements

• MS or BS in Computer Science.
• 8+ years of software engineering experience, including 3+ years in management or tech lead roles.
• Proven experience leading teams of 1020 engineers, ideally across distributed locations.
• Ability to set technical strategy and drive architectural decisions at scale.
• Strong knowledge of backend and AI systems : Python, AWS, Kafka, Postgres, DynamoDB, CI / CD practices.
• Experience with cross-functional teams (PM, Sales, Customer Success) to deliver major launches.
• Experience engaging directly with enterprise clients and integrating with third-party ecosystems.
• Strong leadership, empathy, and communication skills; able to deliver feedback constructively.

Preferred Qualifications

• Strong record of leading high-performing teams in fast-paced tech environments.
• Deep technical expertise with a hands‑on approach and understanding of system architecture and AI.
• Passion for building, scaling, and applying AI-driven systems (including LLMs) to real business use cases.
• Proven ability to establish engineering processes balancing speed, quality, and reliability.
• Excellent people management and mentorship skills.
• Ability to work across disciplines and operate amid ambiguity.

Compensation / Benefits

• Work directly with the CTO and executive team to shape technology and culture.
• Competitive compensation and equity participation.
• Unlimited time off and flexible working hours.

If you're excited to join an innovative team, we'd love to hear from you.