Software Engineering Manager

Pearson•Hoboken, NJ

3d•$160,000 - $180,000•Hybrid

About The Position

We are seeking an experienced Engineering Manager to lead our Insights & Recommendations Scrum Team for Pearson Learning Studio (PLS) product. This role requires a hands-on technical leader with deep expertise in data systems, analytics, and modern web application frameworks. You will drive execution, mentor engineers, and ensure high-quality delivery across a distributed team primarily located in India and Sri Lanka. The ideal candidate combines strong technical depth with proven people's leadership experience and the ability to operate effectively in a global, cross-functional environment.

Requirements

6+ years of experience as an Engineering Manager leading software development teams.
10+ years of overall experience in the software and technology industry.
Strong hands-on expertise in: SQL & data analytics ReactJS Java
Experience building data-driven web applications and analytics platforms.
Demonstrated experience managing geographically distributed teams.
Strong understanding of Agile/Scrum methodologies.
Excellent communication, collaboration, and stakeholder management skills.
Bachelor’s degree in Computer Science, Engineering, or a related field (required).

Nice To Haves

Experience working with data visualization tools and analytics frameworks.
Familiarity with cloud-based architectures (AWS, Azure, or GCP).
Experience scaling high-performance engineering teams.

Responsibilities

Lead the design, development, and deployment of scalable data-driven applications.
Provide hands-on technical guidance in SQL, data analytics pipelines, ReactJS, and Java-based backend systems.
Design and oversee data models, analytics workflows, and performance optimization strategies.
Ensure high standards of code quality, testing, and system reliability.
Participate in technical design reviews and contribute directly when necessary.
Manage and mentor a distributed Scrum team located primarily in India and Sri Lanka.
Foster a culture of accountability, collaboration, and continuous improvement.
Conduct performance reviews, career development planning, and regular coaching.
Drive Agile best practices including sprint planning, backlog grooming, and retrospectives.
Partner with Product, Design, and Analytics teams to align engineering execution with business priorities.
Own delivery timelines and ensure predictable, high-quality releases.
Identify risks early and proactively mitigate technical or operational blockers.
Improve development processes and engineering efficiency across distributed teams.