Principal, Product Management

Pearson; Greater London; Hybrid; GBP 110.000 - 150.000; Vollzeit

Zusammenfassung

Pearson is seeking a Principal Product Manager for Learning Modes. This remote/hybrid UK role focuses on guiding employees’ AI fluency through targeted courses, learning modes, and partnerships.

You will own the recommendation logic and map skills to content, while shaping a modes roadmap and driving measurable learner outcomes. You will collaborate with engineering, learning science, content, and assessment teams, making trade-offs on what to build or partner for, and testing new modes to

Qualifikationen

• 8+ years in setting visions and building products with engineering teams.
• Experience building recommendation or personalization logic.
• Experience running experiments, including holdout or staged rollout designs.
• Proven ability to lead complex, ambiguous initiatives through influence.

Aufgaben

• Own the course recommendation logic mapping assessments/skills to courses and modules.
• Maintain the content/assessments mapping to close gaps and retire unused courses.
• Own the learning modes roadmap with experimentation plans and investment gates, and drive adoption and outcomes.

Kenntnisse

Vision & strategy

Personalization logic

Experimentation design

Influence & leadership

Jobbeschreibung

Principal, Product Management: Learning Modes

Location: UK - Remote

Descriptor: This role aligns to Principal Product Manager.

Pearson is the world's lifelong learning company. In Enterprise Learning & Skills division we are building the next set of products to help enterprises up-skill their employees in AI. This is a big new bet solving immediate problems for enterprises that have never been solved before.

About the role

Employees are being asked to become AI capable while tools, workflows and expectations change at the same time, and most AI training ignores where a person starts, what their job requires and whether anything changed afterward,

You own how employees move from their current level of AI fluency to the next one by helping them learn new skills. That means deciding which courses to recommend, which learning modes to test, how each mode is matched to a learner's role and needs, and what evidence shows that it worked. You are accountable for learner outcomes: fluency gains , completion of the full assess-learn-assess loop, and the rate at which new modes are tested and either adopted or dropped.

You lead through evidence, strategy, experimentation and direct partnership with engineering, learning science, content and assessment teams. You will make and defend trade-offs that cost money: which modes do we build, which get a partnership, and which get funded or cut after testing.

What you'll do

Own the course recommendation logic: define how assessments , role and skill gaps map to specific courses and modules, so a learner's diagnosis produces their plan.

Own the mapping between assessed skills and available content, working with content and assessment teams to close gaps where no course exists and retire courses that do not move the score.

Own the learning modes roadmap: define the set of modes we test, with stated experimentation plans and stage gates on investment. Responsible for rolling out the modes to learners and driving future adoption and effectiveness . Work with the assessment and outcomes teams for dat on what was recommended, what was learned and what ouctomes did it deliver.

• Work with partnership teams to source and structure partnerships for modes.

What we’re looking for

• 8+ years in setting visions and building products working directly with engineering
• Experience building recommendation or personalization logic
• Experience running experiments, including holdout or staggered rollout designs.
• A record of killing features when that dont work
• Proven ability to lead complex, ambiguous initiatives through influence

What we would love

• Hands-on with generative AI in product: you have prompted, evaluated and shipped model-backed features, and you know failure modes.
• Experience in corporate L&D, workforce skilling or Ed-tech
• An eye for design and know what great UX looks like

About Us

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by [e-mail].

Job Info

• Job Identification 26202
• Job Category Product
• Job Schedule Full time
• Posting Location London, United Kingdom (Hybrid)