Engineering Manager, Artificial Intelligence; AI Work From Home

Engineering Manager, Artificial Intelligence (AI) Required, Work From Home We are looking for an Engineering Manager to lead a high-performing engineering team building and scaling products used by millions of users across the region. This role is for a strong technical leader who can lead engineers, make sound architecture and engineering decisions, and drive products and systems from ideas to production.

The Engineering Manager will be responsible for both the quality of the engineering team and the quality and speed of what the team ships. The Engineering Manager should be comfortable operating across people, product and technology, setting a high engineering bar while keeping the team focused on delivering real customer and business outcomes. We are looking for engineering leaders with real technology career highlights.

A strong highlight is not just managing a large team or working at a famous company. A strong highlight means you personally helped build, ship or scale a serious product, platform or engineering organization and can clearly explain your contribution. You should be able to demonstrate both sides of engineering leadership: technical depth and the ability to build a high-performing team that consistently delivers.

English is the main working language across global teams. Strong English communication is required. This position is 100% Remote.

• Lead and manage a team of engineers across frontend, backend and full stack development.
• Own engineering delivery for major product areas, ensuring the team ships quickly without compromising reliability and technical quality.
• Work closely with product, design, mobile, backend and AI teams to turn ambiguous product problems into clear technical execution.
• Drive technical architecture and engineering decisions across APIs, databases, integrations, infrastructure and customer-facing systems.
• Set engineering standards around code quality, system design, testing, observability, security and production reliability.
• Stay close to the technical work through architecture reviews, code reviews, debugging and critical engineering decisions.
• Develop engineers through regular feedback, coaching, performance management and clear expectations.
• Identify performance gaps early and take ownership of raising the team's engineering and execution bar.
• Improve engineering processes, tooling and automation to help the team move faster and operate at scale.
• Own production outcomes beyond release: monitor systems, resolve incidents, identify root causes and ensure problems do not repeat.
• Build a strong engineering culture focused on ownership, speed, technical excellence and continuous improvement.