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Pearson VUE

Senior Software Engineering Manager

Pearson VUE

AI Engineering Manager leading a distributed engineering team at Pearson Learning Studio, driving performance and technical excellence in a hybrid work setup.

Posted 7/8/2026full-timeHoboken • New Jersey • 🇺🇸 United StatesSenior💰 $150,000 - $175,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong leadership in managing and scaling distributed engineering teams, with a focus on mentoring, performance management, and fostering a culture of accountability and continuous learning. Proficient in delivering data-driven platforms and analytics products while ensuring operational excellence and adherence to Agile best practices.

Highest-signal resume keywords
Engineering LeadershipSQL & Data Analytics SystemsReactJSJava-Based Backend SystemsAgile/Scrum at Scale

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData AnalyticsReactJSJavaAgileScrumPerformance OptimizationSystem DesignTechnical Design ReviewsMetrics & KPIs
Soft Skills
CommunicationStakeholder ManagementOrganizational LeadershipMentoringTeam Engagement
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering
Industry Keywords
Distributed Engineering TeamsData-Driven ApplicationsAnalytics PipelinesContinuous ImprovementPerformance Management

Tech Stack

Tools & technologies
JavaReactSQL

About the role

Key responsibilities & impact
  • Lead, manage, and scale a distributed engineering team of 5+ engineers, including senior engineers and team leads.
  • Build a strong leadership bench by mentoring tech leads and emerging managers.
  • Drive performance management, including goal setting, regular feedback, and career development plans.
  • Foster a culture of ownership, accountability, psychological safety, and continuous learning.
  • Manage hiring, onboarding, and team capacity planning to support business growth.
  • Ensure high levels of team engagement, retention, and productivity across geographies.
  • Own end-to-end delivery for the Insights & Recommendations domain.
  • Establish predictable execution rhythms, ensuring on-time, high-quality releases.
  • Partner with Product, Design, and Analytics to translate strategy into clear engineering roadmaps.
  • Identify risks early and proactively remove organizational, technical, or process bottlenecks.
  • Drive operational excellence, including metrics, KPIs, and continuous improvement initiatives.
  • Provide architectural oversight for data-driven applications, analytics pipelines, and web platforms.
  • Guide teams on best practices in SQL, data systems, ReactJS, and Java-based services.
  • Ensure scalable system design, performance optimization, and reliability.
  • Lead technical design reviews and promote sound engineering decisions across teams.
  • Champion Agile best practices across multiple teams (planning, backlog management, retrospectives).

Requirements

What you’ll need
  • 5+ years of engineering leadership experience
  • 8+ years of overall experience in software engineering
  • Proven experience scaling and leading distributed engineering teams across geographies
  • Strong technical background in:
  • - SQL & data analytics systems
  • - ReactJS
  • - Java-based backend systems
  • Demonstrated success in delivering data-driven platforms or analytics products
  • Strong experience with Agile/Scrum at scale
  • Excellent communication, stakeholder management, and organizational leadership skills
  • Bachelor’s degree in Computer Science, Engineering, or related field.

Benefits

Comp & perks
  • This position is eligible to participate in an annual incentive program