Lead Specialist, Product Management

Pearson is the world’s leading learning company, and they are seeking a Lead Specialist in Product Management to shape AI-powered learning experiences. This role involves leading product discovery, definition, delivery, and optimization for AI-enabled features that enhance student learning outcomes.

Responsibilities:

• Support the roadmap and success metrics for AI-powered learning experiences within Pearson’s digital learning ecosystem
• Identify opportunities where AI can improve student outcomes, engagement, personalization, and product quality through user research, data analysis, and experimentation
• Contribute to the end-to-end delivery of AI-enabled features, from discovery and definition through launch and ongoing optimization
• Translate learner, business, and technical needs into clear product requirements, user stories, and prioritized work
• Partner with engineering, design, data science, learning science, content, QA, and AI platform teams to deliver effective AI-powered experiences
• Use AI tools to accelerate product discovery, research synthesis, prototyping, documentation, and stakeholder communication
• Help define and evaluate AI-powered learning experiences, including prompt design, workflow behavior, quality standards, and student trust considerations
• Monitor product performance using analytics, user feedback, and experimentation results to drive continuous improvement
• Ensure AI features align with Pearson standards for privacy, security, accessibility, academic integrity, and responsible AI

Requirements:

• 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
• 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