Engineering Manager, Enterprise AI Platform

Mozn Ai

Riyadh

On-site

SAR 216,000 - 264,000

Full time

14 days+
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Job summary

Mozn Ai is seeking a high-performance Engineering Manager to lead a dedicated team building and scaling Focal, with emphasis on reliability, innovation, and delivering value for customers in Enterprise AI. You will mentor engineers, shape architecture, and drive best practices in a fast-growing environment in Riyadh.

This role requires a strong background in SaaS or distributed applications, leadership experience, and excellent communication skills to translate complex technical concepts for

Qualifications

  • 10 years of software engineering experience, preferably in SaaS or large-scale distributed applications.
  • Previous team leadership experience.
  • Solid communication skills and the ability to convey technical solutions to non-technical stakeholders.
  • Experience with multiple programming languages and continuous learning mindset.
  • Proficient understanding of system design and distributed computing principles.

Responsibilities

  • Lead and mentor a team of engineers to design, develop and maintain product features.
  • Oversee the implementation of the software development process and ensure high code quality.
  • Drive architecture decisions and strategic technical direction for Focal.
  • Coordinate hiring and allocation of resources to support the team.
  • Communicate progress and technical concepts to stakeholders clearly.

Skills

Team leadership
Mentoring
Software design
Distributed systems
System architecture
Agile Scrum
SQL/NoSQL

Education

BS/MS in CS or related field

Tools

HBase
Cassandra
MongoDB

Job description

Mozn Ai is seeking a high-performance Engineering Manager to lead a dedicated team building and scaling Focal, with emphasis on reliability, innovation, and delivering value for customers in Enterprise AI. You will mentor engineers, shape architecture, and drive best practices in a fast-growing environment in Riyadh.

This role requires a strong background in SaaS or distributed applications, leadership experience, and excellent communication skills to translate complex technical concepts for

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