[Hiring] Lead Specialist, Product Management @Pearson

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.

• Lead product discovery, definition, delivery, launch, and optimization for AI-enabled features that help students learn more effectively.
• 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.
• This is a hands-on product role, working directly with engineering, design, data science, learning science, content, QA, legal, privacy, and business stakeholders.
• 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

• 3–5+ years of product management experience for digital, software, SaaS, consumer, education, or platform products.
• Demonstrated experience shipping products or features from discovery through launch and post-launch optimization.
• Hands-on experience using generative AI tools in product work, such as research synthesis, prototyping, analysis, requirements, experimentation, or workflow automation.
• Practical understanding of LLM-based products, including prompts, model behavior, retrieval-augmented generation, evaluation, hallucination risk, and human-in-the-loop workflows.
• Strong product judgment with the ability to balance user value, business value, feasibility, usability, safety, and operational constraints.
• Strong analytical skills and experience using product data, experiments, user research, and qualitative feedback to make decisions.
• Clear written and verbal communication skills, with the ability to translate between technical and non-technical audiences.
• Ability to work effectively with engineering, design, data, QA, content, learning science, legal, privacy, and business stakeholders.

Requirements

• Experience building or managing AI-powered, ML-powered, adaptive, personalized, or data-driven products.
• Experience in EdTech, assessment, tutoring, learning platforms, content platforms, or other trust-sensitive domains.
• Familiarity with AI evaluation methods, model monitoring, prompt testing, red teaming, test-set creation, or rubric-based review.
• Familiarity with agentic workflows, tool use, vector databases, embeddings, RAG systems, LLM orchestration, or model cost/latency trade-offs.
• Experience with A/B testing, funnel analysis, retention analysis, learning outcome measurement, or product analytics platforms.
• Comfort creating lightweight prototypes using AI-assisted tools, no-code tools, notebooks, or design prototypes to reduce product ambiguity.
• Working knowledge of agile product development practices.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and holidays.
• Professional development opportunities and continuing education support.
• A collaborative and innovative work environment.