Software Engineering Manager Full Time NEW

About This Opportunity

Pearson is hiring a Software Engineering Manager to lead one of its core AI-driven products within the English Language Learning division.

In this role, you will lead a team of engineers and data scientists, driving the development of scalable, AI-powered solutions that support global language learning experiences.

You will oversee the full software development lifecycle while collaborating closely with product, design, and cross-functional teams to deliver high-impact digital products.

Company: Pearson
Accepting Applicants From: Remote from Poland and Spain

View the full job description and apply directly with Pearson
*Please apply if you genuinely think you meet the requirements.*

What You Will Do

• Lead and manage a team of software engineers and data scientists
• Co-own digital products alongside product owners and drive technical strategy
• Oversee the full software development lifecycle (planning, design, development, testing, deployment)
• Collaborate with cross-functional teams (Product, QA, UX, Operations, etc.)
  Ensure engineering best practices (DevOps, Clean Code, DDD, etc.) are followed
• Remove blockers, improve team productivity, and manage delivery timelines
• Own roadmap progress, budget, and capacity planning
• Ensure security, compliance, and scalability of systems
• Act as a technical leader, guiding architecture and AI-driven solutions
• Foster a culture of continuous improvement, collaboration, and innovation

Requirements

• Degree in Computer Science, Software Engineering, or related field
• Strong experience in software engineering and development practices
• Hands-on experience with languages such as Java, Python, Kotlin, PHP, or C++
• Experience with frameworks like React and Node.js
• Strong leadership and team management skills
• Experience working in Agile environments
• Knowledge of DevOps / DevSecOps practices and tools
• Strong communication and stakeholder management skills
• Ability to manage multiple teams, priorities, and initiatives
• Strong analytical and problem-solving skills

Additional Details

• Focus area: AI-powered language learning products
• Team structure: Leading one or more engineering squads
• Work distribution:
  60% people management & meetings
  20% new features
  20% documentation & processes

Tagged as: agile, AI Software, devops, Engineering Manager, Manager Software Engineering