Manager, Software Engineering – Innovation Engineering

Pearson VUE

. Lead the day-to-day operation of Pearson Labs’ engineering team and allocate work across a changing research portfolio .

Posted 10/2/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong leadership in managing engineering teams, fostering a positive team culture, and driving AI-augmented engineering initiatives. Capable of prioritizing and organizing multiple concurrent projects while effectively communicating with stakeholders and customers.

Highest-signal resume keywords

Team LeadershipAI-Augmented EngineeringPrototyping StandardsStakeholder EngagementDistributed Team Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPrototypingExperimentationArchitecture ReviewAI Workflows

Soft Skills

CoachingFeedbackOrganizational SkillsCuriosityCommunication

Industry Keywords

EdTechLearning ScienceApplied ResearchInnovationStartups

About the role

Key responsibilities & impact

Lead the day-to-day operation of Pearson Labs’ engineering team and allocate work across a changing research portfolio
Coach and develop engineers through regular feedback, growth conversations, onboarding and AI-native ways of working
Create focus across concurrent experiments, remove blockers and bring engineers together on shared initiatives
Establish practical standards for prototyping, documentation, experimentation, evidence quality and demo readiness
Help teams frame hypotheses, define measurable objectives and reach explicit scale, pivot or stop decisions
Maintain an accurate view of portfolio health and communicate progress, risks and recommendations clearly
Coordinate customer sessions, showcases and executive demonstrations
Monitor emerging technology, changing business priorities and opportunities for Pearson Labs to explore
Lead a globally distributed team developing prototypes and experiments in AI tutoring, agentic systems, immersive environments, knowledge graphs, voice agents and novel hardware

Requirements

What you’ll need

Experience leading software engineers day to day, with evidence of building a high-performing and genuinely positive team culture
Strong engineering background and technical credibility to review prototypes, challenge architecture and work alongside engineers when useful
Comfort leading work designed to create learning quickly, including experiments that may be stopped or discarded
Strong prioritisation and organisation across multiple concurrent initiatives with changing levels of maturity
Practical, early and constructive approach to feedback, coaching and team development
Confidence engaging customers, clients and senior stakeholders and presenting technical work in an accessible way
Entrepreneurial mindset, with curiosity about changing technology, learning and the wider business
Fluency with AI-augmented engineering, coding agents or agentic workflows, or strong readiness to work this way
Experience leading distributed or international colleagues and creating cohesion across locations
Interest in education, learning science, EdTech, applied research, startups or innovation environments is helpful
Comfortable working from the London office around three days per week
Willingness to undertake occasional national or international travel
CV or résumé and a short response describing the best team culture built or experienced
Examples of talks, writing, projects, prototypes or teams may be shared

Benefits

Comp & perks

Visibility across Pearson
Access to senior leaders and customers
Opportunity to build a management function around a team working at the technology frontier
Curiosity, creativity, evidence and collaboration-focused work environment