Job Title: Staff Quality Assurance Engineer – LAD
Location: Haifa, Israel Preferred (Onsite)
Full-Time | Pearson Education
About Pearson
Pearson is the world’s leading provider of learning services and materials for higher education institutions and faculties around the globe, operating in over 70 countries.
With a mission to revolutionize the future of learning and courseware , Pearson’s Higher Education team is focused on transforming how students engage with content— developing innovative, consumer-grade digital products that are intuitive, effective, and accessible. We move fast: designing, building, testing, and iterating with agility and purpose.
By putting students at the center of everything we do, we’re creating cross-platform, mobile-first experiences and high-scale web services that are shaping the future of global education.
About the Role:
Pearson is seeking a Staff Quality Assurance Engineer to join our growing, dynamic team. You will help design and develop world-class web applications that are used by millions of learners worldwide.
As a senior team member, you’ll work in a fast-paced, agile environment and take a leading role in quality engineering with strong AI/ML testing experience who can define how Pearson validates intelligent learning systems. The person will own quality strategy for data mapping, APIs, observability, evaluation workflows, and integrations validation.
Key Responsibilities:
Define and drive AI Test Strategy: Create comprehensive test strategies specifically for GenAI products and LLM-based workflows, including model accuracy, bias, safety, and reliability validation.
Develop and maintain AI testing frameworks, including prompt testing and evaluation of model outputs
Build and evolve test automation frameworks, pipelines, and evaluation harnesses for AI/ML models, APIs, and integrated systems.
AI-Specific Quality Validation: Design tests around prompt engineering, hallucination detection, model evaluation metrics, and edge-case scenarios.
Cross-Functional Collaboration: Partner with Dev, Product, and Data Science to align quality standards with evolving GenAI architectures.
Drive defect analysis, implement lessons learned, and adopt emerging tools and methods for testing AI.
Qualifications:
6+ years of experience in Quality Engineering, with at least 3 years in a technical leadership or managerial role.
Strong technical expertise in AI/ML product testing, including GenAI workflows, model evaluation, and/or LLM-based solutions.
Hands-on experience with test automation frameworks, API/UI testing, and CI/CD pipelines.
Familiarity with LLM testing challenges (e.g., prompt variation, non-deterministic outputs, evaluation metrics, model drift).
Knowledge of Python or similar languages for building test tools or harnesses.
Exposure to prompt engineering, bias testing, or AI ethics frameworks is a plus.
Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred).
Proven ability to work in cross-functional, Agile/Scrum environments
Excellent communication and leadership skills
Bachelor's degree in Computer Science, Engineering, or related field; advanced degree is a plus
Why Join Us?
This is an opportunity to shape the future of AI-driven education. You will be at the forefront of defining how AI systems are tested, validated, and trusted in a learning environment that impacts millions of students and instruct
Work on products with real impact —millions of users globally
Join a startup-like culture within a global leader
Collaborate with a tight-knit, talented team
Shape the future of digital education ors worldwide.
If you’re passionate about pioneering new approaches to AI testing and want to combine technical leadership with hands-on Quality engineering, this role offers the chance to make a lasting impact.
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Engineering
Job Family: TECHNOLOGY
Organization: Higher Education
Schedule: FULL_TIME
Workplace Type:
Req ID: 25640
