Engineering Manager, AI Security & Fraud Detection

Intuition Machines

México

Remote

MXN 2.579.000 - 3.611.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Fully remote position
Flexible working hours
Global team

Zusammenfassung

Intuition Machines is seeking an Engineering Manager to lead a distributed team delivering applications, tools, and infrastructure for our security platform. You will collaborate with engineers, data scientists, and domain experts to engineer detection features that mitigate fraud and abuse, while mentoring staff to grow technically and professionally.

The role emphasizes hands-on leadership, architecture, and high-quality development practices in a remote, globally distributed context.

Qualifikationen

  • 8+ years of professional software engineering experience.
  • 2+ years of leading or managing engineering teams.
  • Experience with distributed systems and scalable architectures.
  • Familiarity with Kubernetes and Docker.

Aufgaben

  • Manage, grow and support a team of engineers responsible for applications, tools and infrastructure that drive our security products.
  • Work closely with engineers, scientists, stakeholders and other domain experts to come up with and execute on unique solutions that contribute to detection and mitigation of fraud and automation.
  • Mentor and guide engineers to grow in skill and knowledge, allowing them to make the best decisions given the right tools and context.
  • Participate in code and architecture design, contribute to feature development and maintain high quality standards via peer reviews and mentorship.

Kenntnisse

Team leadership
Distributed systems
Typescript
Python
Mentorship
Code reviews

Tools

Kubernetes
Docker

Jobbeschreibung

Intuition Machines is seeking an Engineering Manager to lead a distributed team delivering applications, tools, and infrastructure for our security platform. You will collaborate with engineers, data scientists, and domain experts to engineer detection features that mitigate fraud and abuse, while mentoring staff to grow technically and professionally.

The role emphasizes hands-on leadership, architecture, and high-quality development practices in a remote, globally distributed context.

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