Role Description
This role aligns to industry level titles such as Principal Product Manager or Principal AI Product Manager.
Pearson is seeking a Product Manager to help shape the next generation of AI-powered learning experiences. This role sits at the intersection of product strategy, learning design, data, AI technology, and user experience.
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Lead product discovery, definition, delivery, launch, and optimization for AI-enabled features that help students learn more effectively.
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This may include AI tutoring, personalized practice, study recommendations, agentic learning workflows, content generation, feedback systems, and tools that help students understand what to study next.
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This is a hands-on product role, working directly with engineering, design, data science, learning science, content, QA, legal, privacy, and business stakeholders.
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A strong candidate will be comfortable using AI in their own product workflow, while also understanding how to build AI into products safely and responsibly.
Qualifications
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3–5+ years of product management experience for digital, software, SaaS, consumer, education, or platform products.
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Demonstrated experience shipping products or features from discovery through launch and post-launch optimization.
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Hands-on experience using generative AI tools in product work, such as research synthesis, prototyping, analysis, requirements, experimentation, or workflow automation.
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Practical understanding of LLM-based products, including prompts, model behavior, retrieval-augmented generation, evaluation, hallucination risk, and human-in-the-loop workflows.
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Strong product judgment with the ability to balance user value, business value, feasibility, usability, safety, and operational constraints.
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Strong analytical skills and experience using product data, experiments, user research, and qualitative feedback to make decisions.
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Clear written and verbal communication skills, with the ability to translate between technical and non-technical audiences.
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Ability to work effectively with engineering, design, data, QA, content, learning science, legal, privacy, and business stakeholders.
Requirements
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Experience building or managing AI-powered, ML-powered, adaptive, personalized, or data-driven products.
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Experience in EdTech, assessment, tutoring, learning platforms, content platforms, or other trust-sensitive domains.
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Familiarity with AI evaluation methods, model monitoring, prompt testing, red teaming, test-set creation, or rubric-based review.
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Familiarity with agentic workflows, tool use, vector databases, embeddings, RAG systems, LLM orchestration, or model cost/latency trade-offs.
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Experience with A/B testing, funnel analysis, retention analysis, learning outcome measurement, or product analytics platforms.
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Comfort creating lightweight prototypes using AI-assisted tools, no-code tools, notebooks, or design prototypes to reduce product ambiguity.
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Working knowledge of agile product development practices.
Benefits
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Competitive salary and performance-based bonuses.
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Comprehensive health, dental, and vision insurance plans.
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Generous paid time off and holidays.
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Professional development opportunities and continuing education support.
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A collaborative and innovative work environment.
