Principal AI Product Manager – Learning Experiences

Pearson

Santa Fe (NM)

Remote

USD 140,000 - 170,000

Full time

4 days ago

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Benefits offered by this job

Competitive salary

Bonuses

Health insurance

Paid time off

Professional development

Collaborative environment

Job summary

Pearson is seeking a Product Manager to lead AI-powered learning experiences. This hands-on role blends product strategy, learning design, data, AI technology and UX to discover, define, deliver, launch and optimize features such as AI tutoring, personalized practice and study recommendations.

You'll collaborate with engineering, design, data science, content, QA, legal, privacy and business stakeholders to translate opportunities into measurable products while ensuring safety, accessibility,

Qualifications

3–5+ years of product management experience in digital/software/educational products.
Experience shipping products from discovery through launch and post-launch optimization.
Hands-on experience using generative AI tools in product work (research synthesis, prototyping, analysis, requirements, experimentation, or workflow automation).
Understanding of LLM-based products (prompts, model behavior, retrieval-augmented generation, evaluation, hallucination risk, human-in-the-loop).
Strong product judgment balancing user value, business value, feasibility, usability, safety, and constraints.
Strong analytical skills using product data, experiments, user research, and qualitative feedback.
Clear written and verbal communication translating between technical and non-technical audiences.
Ability to work with engineering, design, data, QA, content, learning science, legal, privacy, and business stakeholders.

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 end-to-end delivery of AI-enabled features from discovery to 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.