Remote Engineering Manager - Fraud Detection

Intuition Machines, Inc.

Polska

Hybrid

PLN 520,000 - 669,000

Full time

14 days+

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Benefits offered by this job

Fully remote position
Flexible working hours
Global team collaboration
High impact projects

Job summary

Intuition Machines seeks an Engineering Manager to lead and grow a team of engineers building security products, tooling, and infrastructure at scale. You will guide architecture, collaborate across disciplines, and mentor contributors to deliver robust detection capabilities.

You will work with a geo-distributed team to ship features, improve fraud detection, and scale systems to serve hundreds of millions of users daily, while promoting a culture of rigorous reviews and continuous improvement.

Qualifications

  • 8+ years of professional experience in software engineering.
  • 2+ years of leading or managing engineering teams.
  • Strong experience with TypeScript or Python; familiarity with Rust, Go, or C++.
  • Understanding of distributed systems and scalable operations.
  • Experience with Kubernetes and Docker.
  • Proven track record of building high-performing engineering teams.

Responsibilities

  • Lead and grow a team of engineers responsible for applications, tools and infrastructure that drive security products.
  • Collaborate with engineers, scientists, stakeholders and domain experts to design and implement detection solutions.
  • Mentor engineers to grow skills and make informed decisions with proper tooling and context.
  • Contribute to code and architecture design and maintain high quality through reviews and mentorship.

Skills

Leadership
Mentoring
Cross-functional collaboration
System design
Communication
Problem solving

Tools

Typescript
Python
Rust
Go
C++
Kubernetes
Docker

Job description

Intuition Machines seeks an Engineering Manager to lead and grow a team of engineers building security products, tooling, and infrastructure at scale. You will guide architecture, collaborate across disciplines, and mentor contributors to deliver robust detection capabilities.

You will work with a geo-distributed team to ship features, improve fraud detection, and scale systems to serve hundreds of millions of users daily, while promoting a culture of rigorous reviews and continuous improvement.

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