Principal AI Product Manager, Learning Experiences (Remote)

Pearson

Trenton (NJ)

Remoto

USD 140.000 - 170.000

Tempo pieno

45 ore fa
Candidati tra i primi
Generatore di candidature

Distinguiti per questa posizione — genera un curriculum e una lettera di presentazione personalizzati in circa un minuto.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Competitive salary & bonuses
Health insurance
Generous paid time off
Professional development
Collaborative environment

Descrizione del lavoro

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.

You will lead product discovery, definition, delivery, launch, and optimization for AI-enabled features that help students learn more effectively. This is a hands‑on product role, collaborating with engineering, design, data science, content, QA, legal, privacy, and business

Competenze

  • 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.

Mansioni

  • 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.

Conoscenze

Product management
AI tools
LLM prompts
Agile development
Stakeholder communication
Analytics & data
Research & discovery
Cross-functional collaboration

Strumenti

Gen AI tools
Prototyping tools

Descrizione del lavoro

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.

You will lead product discovery, definition, delivery, launch, and optimization for AI-enabled features that help students learn more effectively. This is a hands‑on product role, collaborating with engineering, design, data science, content, QA, legal, privacy, and business

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