Lead Specialist, Product Management

Posted 3 Days Ago
Hiring Remotely in United States
Remote
140K-170K Annually
Senior level
Edtech
The Role
Lead product discovery, strategy, delivery, launch, and optimization for AI-powered learning experiences. Define roadmaps, requirements, success metrics, and responsible AI standards while partnering with engineering, design, data science, learning science, content, QA, legal, privacy, and business teams. Evaluate prompts, workflows, model quality, experimentation results, analytics, and user feedback to improve student outcomes, personalization, trust, accessibility, and product performance.
Summary Generated by Built In

Lead Specialist, Product Manager, AI Learning Experiences 

Description: This role aligns to industry level titles such as Principal Product Manager or Principal AI Product Manager.

Location: United States — Remote

Business Unit: Pearson Direct-to-Consumer 


About Pearson 

Pearson is the world’s leading learning company. We help learners build the knowledge, skills, and confidence they need to progress in school, work, and life. As learning becomes more personalized, adaptive, and AI-enabled, Pearson is investing in products that combine trusted educational content, learning science, and modern AI to create more effective study experiences for students. 

 

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 $140,000 - $170,000. 

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

Applications will be accepted through 26th October. This window may be extended depending on business needs.

 

Skills Required

  • 3-5+ years of product management experience across digital, software, SaaS, consumer, education, or platform products
  • Experience shipping products or features from discovery through launch and post-launch optimization
  • Hands-on experience using generative AI tools for product work, including 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 balancing user value, business value, feasibility, usability, safety, and operational constraints
  • Strong analytical skills using product data, experiments, user research, and qualitative feedback for decision-making
  • Clear written and verbal communication skills, including translating between technical and non-technical audiences
  • Ability to collaborate 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 and latency trade-offs
  • Experience with A/B testing, funnel analysis, retention analysis, learning outcome measurement, or product analytics platforms
  • Experience creating lightweight prototypes using AI-assisted tools, no-code tools, notebooks, or design prototypes
  • Working knowledge of agile product development practices
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
29,811 Employees
Year Founded: 1871

What We Do

We are the world’s learning company with more than 22,500 employees operating in 70 countries. We provide content, assessment and digital services to learners, educational institutions, employers, governments and other partners globally. We are committed to helping equip learners with the skills they need to enhance their employability prospects and to succeed in the changing world of work. We believe that wherever learning flourishes so do people.

Similar Jobs

Remote or Hybrid
United States
29811 Employees
175K-200K Annually

Globe Life Logo Globe Life

Customer Service Representative

Insurance • Financial Services
Remote
USA
3000 Employees

Grow Therapy Logo Grow Therapy

Specialist I, Provider Support

Healthtech • Social Impact • Software
Remote or Hybrid
USA
650 Employees
20-24 Hourly

Identity Digital Logo Identity Digital

VP, Corporate Affairs

Consumer Web • eCommerce • Internet of Things
Remote or Hybrid
United States
240 Employees
250K-325K Annually

Similar Companies Hiring

ReUp Education Thumbnail
Social Impact • Edtech
Austin, TX
180 Employees
Learneo Thumbnail
Software • Machine Learning • Edtech • Artificial Intelligence
NL
397 Employees
CodePath.org Thumbnail
Edtech • Social Impact
San Francisco, CA
55 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account