Engineering Manager, AI‑Driven Platform (Remote)

8020rei; Colombia; Remote; COP 80,000,000 - 160,000,000; Full time

Benefits offered by this job

Base compensation

Profit share bonus

Flexible time off

Home office upgrade

HMO bonus

Fully remote work

Impact projects

Growth opportunities

Skills development budget

Job summary

8020REI is looking for an Engineering Manager to own the platform behind our product—backend and frontend—focusing on reliability, performance, security, and cost efficiency. You will lead a small team, work hands-on with architecture and AI-written code, and partner with Product to deliver validated work.

You will allocate half your time to hands-on design, code reviews, and AI work, and the rest to leadership and mentorship, with a roadmap-driven approach and a bias toward practical,

Qualifications

• Own a production system and handle failures
• Experience building with AI coding agents
• Led a team of at least two engineers for at least two years
• Strong curiosity and willingness to learn independently
• Plan, estimate well and keep commitments
• Fluent English

Responsibilities

• Own the platform end-to-end, including back end and front end.
• Set up alerts, tests, and monitoring to preempt failures.
• Keep services up, fast and current for all clients.
• Protect client data and manage access.
• Own cloud cost and optimize spend per paid client.
• Challenge requests with cost and design tradeoffs.
• Lead AI-driven architecture and code reviews.
• Coach and nurture a small, high-performing team.
• Maintain a clear roadmap and meet deadlines with plans

Skills

Leadership

AI coding agents

Code review

Architecture

Planning & estimation

English fluent

Education

Engineering degree

Master's degree a plus

Job description

8020REI is looking for an Engineering Manager to own the platform behind our product—backend and frontend—focusing on reliability, performance, security, and cost efficiency. You will lead a small team, work hands-on with architecture and AI-written code, and partner with Product to deliver validated work.

You will allocate half your time to hands-on design, code reviews, and AI work, and the rest to leadership and mentorship, with a roadmap-driven approach and a bias toward practical,