Pearson

Specialist, Product Manager

Pearson$100K — $115K *
US-Anywhere
+ 2 other locationsRemote
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5+ years in product management, preferably in education or consumer tech.
  • Experience in launching and optimizing digital products or features.
  • Hands-on use of generative AI tools in development processes.
  • Familiarity with large language models and their applications in product development.
  • Strong analytical abilities to leverage data and user feedback for decision-making.
  • Excellent communication skills to address both technical and non-technical stakeholders.
  • Collaboration skills to work effectively with diverse teams.

Responsibilities

  • Support roadmap development for AI-driven learning experiences.
  • Identify AI improvement opportunities through research and analysis.
  • Lead the end-to-end delivery of AI features from concept to optimization.
  • Translate diverse needs into actionable product requirements and user stories.
  • Collaborate with cross-functional teams for effective product delivery.
  • Utilize AI tools to enhance product discovery and stakeholder communication.
  • Monitor product performance for continuous improvement efforts.

Benefits

  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Professional development and education support.
  • Collaborative and innovative work environment.
Full Job Description
Specialist, Product Manager, AI Learning Experiences

Location: United States - Remote, or Haifa, Israel - Onsite

Business Unit: Pearson Direct-to-Consumer

About the Role

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 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. You will not only define the roadmap; you will work directly with engineering, design, data science, learning science, content, QA, legal, privacy, and business stakeholders to turn ambiguous opportunities into trusted, measurable product experiences.

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.

What You'll Do
  • 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.

What We're Looking For

Required 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.

Preferred Qualifications
  • 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.

What You'll Love About This Role
  • Impact: Shape AI learning experiences used by millions of students globally.
  • Innovation: Work with cutting-edge technologies.
  • Growth: Build highly sought after AI product skills in a supportive, collaborative environment.
  • Purpose: Contribute to Pearson's mission of improving learning outcomes worldwide.

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.

If you're excited about shaping the future of learning with AI, we'd love to hear from you. Apply today.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The minimum full-time salary range is between $100,000 - $115,000.

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Applications will be accepted through 18th June . This window may be extended depending on business needs.

Job: Product Management

Job Family: PRODUCT

Organization: Higher Education

Schedule: FULL_TIME

Workplace Type:

Req ID: 21428

#LI-REMOTE

About Pearson

Pearson is a publishing and education company that provides educational materials, learning technologies, and assessments to schools, universities, and professional organizations. The company's products and services include textbooks, online learning platforms, and certification exams. Pearson's customers include the University of Phoenix, the British Council, and the Association of Chartered Certified Accountants.
Learn more about Pearson
Size
20,744 employees
Market Cap
$8.1 billion
Industry
Net Income
$265 million
Founded
1997
5 Year Trend
-5.5%
Revenue
$3.5 billion
NASDAQ

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