[Hiring] Software Engineering Manager @Pearson

Role Description

We're looking for an Engineering Manager to lead a team of 5–8 software engineers on the Enterprise Learning & Skills (ELS) engineering team. The team builds, scales, and evolves a large-scale, API-driven platform used globally to issue and verify digital credentials. This is a people- and delivery-focused leadership role: you'll own the day-to-day health, output, and growth of the team, ensuring work stays on track, meets our standards for quality and consistency, and delivers what the organization and our customers expect.

• Lead, coach, and support a team of 5–8 engineers building Ruby on Rails services and React frontends.
• Plan and allocate daily and sprint work, monitor progress against delivery schedules, and keep projects on track.
• Troubleshoot obstacles, clarify requirements, and coordinate handoffs across engineers, teams, and vendors.
• Triage bugs and production issues with attention to detail, minimizing disruption to customers.
• Maintain standards of quality and consistency within defined processes.
• Give real-time, constructive feedback; run regular 1:1s; and celebrate team milestones.
• Own the onboarding and skill development of new team members.
• Identify and introduce process improvements at the team level.
• Champion the responsible use of AI-assisted development tools.
• Uphold secure, ethical, and resilient engineering practices.

Qualifications

• 5+ years of professional software development experience.
• 2+ years managing or formally leading a software engineering team.
• Working familiarity with core stack (Ruby on Rails, React, AWS, PostgreSQL).
• Proven track record of running a team's daily delivery reliably.
• Strong problem-solving skills.
• Exceptional collaboration and communication skills.
• Experience onboarding and developing engineers.
• Sound judgment about when to resolve issues locally and when to escalate.
• Adaptability and a commitment to continuous learning.
• Strong understanding of information and data security fundamentals.

Requirements

• Comfort using AI tools in your own work.
• Confidence guiding a team that uses AI for coding, testing, documentation, and learning.
• Set expectations for how AI-generated output is validated.
• Stay curious about how AI can responsibly improve productivity and quality.

Benefits

• Full-time salary range: $150,000 - $190,000.
• Eligible to participate in an annual incentive program.