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Quality Assurance Engineering Manager

Job in Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listing for: Pearson
Full Time position
Listed on 2026-09-14
Job specializations:
  • Quality Assurance - QA/QC
    IT QA Tester / Automation, QA Specialist - Analyst/Manager, Quality Engineering
Salary/Wage Range or Industry Benchmark: 41840 - 73220 USD Yearly USD 41840.00 73220.00 YEAR
Job Description & How to Apply Below

Job Title: Quality Assurance Engineering Manager

Location: India

Full-Time | Pearson Education

About the Role:

Maple–ELL is Pearson’s lesson and content authoring platform for English Language Learning courseware, supporting the creation of titles, units, lessons, activities, and interactive H5P-based templates across learner segments such as Pre-Primary, Primary, Secondary, and Adult. The platform connects the authoring experience in Maple with downstream publishing and delivery flows through PRIZM and Pearson learning platforms, making quality, release readiness, automation, and end-to-end validation critical to successful learner and educator experiences.

Pearson is seeking an experienced Quality Engineering Manager to lead the Maple–ELL quality engineering function. In this role, you will own the quality strategy, test tooling, automation approach, release validation, and execution model for Maple authoring, templates, PRIZM integration, and related end-to-end workflows.

You will manage and guide QE engineers, partner closely with product, engineering, content, and platform teams, and drive a culture of quality across in-sprint testing, regression, responsiveness, accessibility, performance, production triage, and release readiness for Maple–ELL.

Key Responsibilities:
  • Define, own, and continuously improve the overall Maple–ELL quality strategy across Maple authoring, lesson builder capabilities, H5P templates, PRIZM integration, and downstream ELL delivery workflows.

  • Ensure strong test coverage across all Maple components, including templates, authoring workflows, preview experiences, responsiveness, accessibility, integrations, publishing flows, and regression areas.

  • Serve as the primary QE point of contact for the ELL team and partner closely with ELL stakeholders, product leaders, engineering teams, content teams, and platform teams to ensure requirements are clearly understood, validated, and delivered with high quality.

  • Represent quality expectations for ELL as the client/partner team, ensuring their functional, release, content, and user experience requirements are met before production readiness decisions are made.

  • Build and execute an automation strategy for Maple–ELL, with particular focus on increasing automation coverage for templates, repeatable regression scenarios, Maple-to-PRIZM flows, responsiveness checks, and critical end-to-end user journeys.

  • Strategize and lead end-to-end testing for Maple, including clear ownership across Maple, PRIZM, and downstream platform validation, with defined entry/exit criteria, test data needs, environment readiness, and handoff processes.

  • Lead in-sprint testing, regression planning, defect triage, root cause analysis, and production issue validation to ensure issues are identified early, prioritized correctly, and resolved with the right level of urgency.

  • Drive shift-left quality practices by partnering with engineering teams to improve unit, integration, contract, API, and automation coverage as part of the development workflow.

  • Establish quality gates and release readiness criteria for Maple–ELL releases, including go/no-go recommendations based on test execution, defect trends, automation results, performance indicators, and business risk.

  • Provide clear and timely reporting on quality status, test progress, automation coverage, defect health, release risks, and production readiness for engineering, product, ELL, and leadership stakeholders.

  • Define and track meaningful quality metrics, including test coverage, pass/fail trends, defect escape rate, automation progress, open defect aging, risk hotspots, and release confidence indicators.

  • Manage, coach, and develop QE engineers supporting Maple–ELL, ensuring the team operates with strong technical…

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