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Associate Engineering Manager

Application ends: June 5, 2026
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Job Overview

  • Date Posted
    March 7, 2026
  • Location
    Remote
  • Expiration date
    June 5, 2026

Job Description

JOB SUMMARY

Requirements
  • Solid experience as a Software Engineer, having built and maintained production systems and the ability to go deep technically
  • 1–2 years of experience managing engineers, including one-on-ones and leading delivery
  • Experience in a high-growth or scaling company is a strong plus.
  • Strong understanding of system design, architecture and engineering best practices across backend, frontend and data contexts
  • Strong product collaboration mindset, working closely with Product Managers and Designers to define problems, validate solutions and measure outcomes
  • Excellent communication and leadership skills, inspiring trust, clarity and accountability
  • You are a servant leader: empathetic, organized and passionate about helping people do their best work
  • You are comfortable balancing technical depth with people leadership and delivery outcomes
  • Fluent in English and based in the European time zone (UTC+0 / UTC+2)
Responsibilities
  • Lead, coach and develop a talented team of engineers working across backend, frontend and data layers
  • Foster a culture of ownership, testing and quality, ensuring features are robust, scalable, and measurable
  • Drive the delivery of impactful projects, from ideation to production and iteration, in partnership with Product and Design
  • Provide technical guidance and mentorship, to raise the bar and help engineers grow in design thinking, architecture and cross-stack collaboration
  • Actively participate in hiring engineers
  • Maintain technical involvement, reviewing code, contributing to architecture discussions, and occasionally coding (outside of the critical path)
  • Improve engineering processes to drive velocity, alignment and clear communication
  • Collaborate with other engineering managers and the Senior EM to strengthen team structure, knowledge sharing and engineering culture
  • Champion data-informed decisions, ensuring the team has the right feedback loops to measure success

 

 

 

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