Engineering Manager

About

EdSpan is an innovative EdTech company dedicated to creating cutting-edge learning experiences that empower the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. Our current focus includes an AI-guided tutoring experiences, a peer-to-peer tutoring platform, and a custom learning management system.

We operate within a framework of clearly defined processes supported by automation for routine tasks, and open, productive collaboration across the team. Our workflows are based on Agile principles, with daily stand-ups, bi-weekly sprints, and other key Scrum practices. At the same time, we keep meetings to a minimum to ensure everyone can stay focused on delivering high-quality results and continuing to grow professionally.

Who you are

You’re a technically strong leader who enjoys combining hands-on expertise with thoughtful team leadership. You thrive in an environment built on clear processes, smart automation, and Agile principles, where focus and continuous improvement drive high-quality outcomes.

You’re not just delivering solutions yourself, you’re creating the structure, clarity, and support that enable Engineers to do their best work. You think beyond individual tasks, aligning technical execution with product strategy and long-term goals. You foster open, productive collaboration, keep workflows efficient and meetings purposeful, and help your team grow professionally while consistently raising the bar on engineering excellence.

Requirements

• BSc / MSc in Engineering, Computer Science or relevant field
• 5+ years of experience as an Individual Contributor (Software Developer, DevOps, ML Engineer, etc.)
• 2+ years of experience in managing technical teams
• Deep understanding of Agile practices and the SDLC
• Leadership
  • Exceptional leadership skills with the ability to mentor and develop engineering teams
  • Experience in hiring, onboarding, and training new team members
  • Experience in establishing and tracking OKRs for engineering teams
• Communication and Collaboration
  • Excellent communication and collaboration skills, business-oriented and results-focused approach
  • Proven experience in collaborating with senior executives, such as CTOs and CEOs, on technology strategy and implementation
• Technical skills
  • Experience building complex web-based products is a must: API-first, cloud platforms, automated testing, CI/CD pipelines
  • Familiarity with quality assurance processes and automation testing tools
  • Experience with DevOps practices and tools

• Must be fluent in English

   

Would be a plus

• Technical expertise aligned with our stack (PHP and Node.js, Angular, Flutter, AWS cloud) is a strong advantage

• Experience leading or contributing to AI-driven product development (e.g., AI agents, agentic workflows), or strong practical expertise in agentic systems design, prompt engineering, and model evaluation practices

   

What will you do

• People Management
  • Lead an all-remote engineering team, maintain a culture of excellence, collaboration, and mentorship;
  • Use technical expertise to guide the team in solving complex problems, occasionally conducting code reviews, and discussing solutions
  • Set goals for engineers through OKRs and track their progress toward these goals
  • Conduct one-on-ones and trainings, be responsible for career progressions
• Project Oversight
  • Enable engineers to deliver outstanding results and build products, with accountability over quality and delivery performance;
  • Monitor project progress, identify deviations, and take corrective actions to ensure timely delivery
  • Evaluate potential project risks and develop contingency plans to minimize disruptions
• Team Expansion
  • Identify opportunities for team growth and expansion, work with recruiters to hire and onboard new engineers or get provisional help from our partners
  • Enhance the technical interviewing process and candidate checks
• SDLC and Automation
  • Collaborate with engineers to optimize and streamline the SDLC process, CI/CD pipelines, and QA processes
  • Drive the adoption of software methodologies and automation practices to improve development efficiency
• Quality Improvement
  • Collaborate with across teams to improve the quality of specifications and technical requirements
  • Enhance the criteria for the definition of ready and the definition of done
  • Ensure that quality level of automated tests results in improved Lead Time and reduced amount of detects