Pearson

Pearson

Advanced Specialist, Product Management

United States · Full-time

Sponsorship not specified$80k-$148kDetected 1 day ago
Data EngineeringA/B TestingSketchAccessibilityProduct ManagementProcurementHRISResearchLeadershipCommunicationPublic Speaking

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odds of building a lasting career here

43Risky
Cap-exempt (no lottery)0
Sponsors this role65
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Thin sponsorship signal and lottery-bound (~30% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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About the role

  • We are a small, newly formed team within Pearson's Enterprise Learning & Skills (ELS) division, creating entirely new products for our enterprise clients rather than improving existing ones.
  • Our starting point is an asset few companies can claim.
  • Pearson has nearly two centuries of history and, with it, one of the world's deepest bodies of learning content, assessment data, and credentialing expertise.

Responsibilities

  • Design and run validation with the design engineer and product engineer: interviews, concept tests, prototypes, and pilots with real clients.
  • Navigate the Pearson portfolio: identify which existing Pearson products a concept should build on, and create the internal partnerships to make it real.
  • Treat integration as a product requirement from day one. Enterprise products live or die by how they fit into client ecosystems, and you'll own that fit alongside the engineers.
  • Build the business case and tell the story - to clients, to ELS leadership, and to the partner teams whose support each bet needs.
  • Strong experimentation instincts: hypothesis design, qualitative and quantitative validation, and honest, evidence-based decision-making.

Requirements

  • Senior product management experience with a demonstrated zero-to-one track record: products or major bets you took from concept through validation to launch - including some you killed.

Nice to have

  • SSO and SCIM) - enough to be credible with client IT teams.
  • Formal research training, or deep experience partnering closely with researchers.
  • Committee, consortium, or industry working-group experience.
  • Who thrives on this team
  • Bets change, priorities shift, and fidelity ranges from napkin sketch to production.
  • You move fluidly between them.
  • You hold your work loosely and your standards tightly.
  • Comfortable in parallel.

Skills

  • Pearson's portfolio spans assessment, qualifications, credentials, learning content, and workforce skills.

Compensation

  • Compensation at Pearson is influenced by factors including skill set, experience, and location.

Benefits

  • Do whatever the bet needs: write the interview guide, build the model, draft the one-pager, or prototype a concept yourself with AI tools when that's the fastest path to learning.

Company info

  • It will always involve integrations. Our products operate inside our clients' ecosystems - learning platforms, HR systems, identity providers, and data pipelines - and must work seamlessly with all of them.
  • It will almost always build on other Pearson products. Pearson's portfolio spans assessment, qualifications, credentials, learning content, and workforce skills. We combine these capabilities - and the data and insight behind them - in ways that were not possible before, collaborating across the company as much as within the team.
  • It will be researched and validated before it scales.
  • Our mission is to bring it to bear in new and distinctive ways - solving problems for our customers that could not be solved before AI.
  • We combine these capabilities - and the data and insight behind them - in ways that were not possible before, collaborating across the company as much as within the team.
  • We take an evidence-led approach: concepts are tested with real customers, and only those that prove their value move forward.
  • Own discovery: get close to enterprise customers - buyers, administrators, learners, and IT - and to the market, and turn what you find into problems worth betting on.
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This listing is sourced directly from Pearson's careers page and normalized into a canonical job model.