Pearson Logo

Pearson

Advanced Specialist, Product Management

Posted 7 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
120K-150K Annually
Senior level
Remote
Hiring Remotely in United States
120K-150K Annually
Senior level
Own the product strategy and outcome-based roadmaps for shared test security platforms spanning identity, behavior, location, platform, and environment domains. Monitor threats and competitors, conduct continuous discovery, define reusable security capabilities, and measure detection performance. Partner with data science, engineering, architecture, and security operations on AI/ML detection, evidence defensibility, and production delivery while advancing the organization’s transition from project-based delivery to durable product ownership.
The summary above was generated by AI

Advanced Specialist Product Manager – Test Security Platforms

Summary

Pearson Professional Assessments delivers the exam and testing ecosystem that professional bodies, regulators, certification programmes and schools depend on to make high-stakes decisions about people. Security is not a feature of that service. It is the service.

The role is accountable for five security domains: Identity, Behavior, Location, Platform and Environment -  and for the platforms and shared services that deliver them, across market-facing and internal applications alike. It includes the security capability roadmap for the online-proctored channel.

The role exists because our security capability today is strong but application-shaped. Controls have grown up inside individual products, driven largely by what individual clients asked for, and the same problem has been solved more than once in more than one place. We are moving to a model where security is a deliberately designed shared platform, built from a standing read of the threat landscape and the market rather than from inbound requirements. 

Key responsibilities

Domain and platform product ownership

  • Own a persistent, outcome-based roadmap for each of the five domains — refreshed continuously against evidence, not reset annually by the project cycle.

  • Design security as a shared platform. Define the capabilities, service contracts and integration patterns that channel and application teams consume, so a control is built once and applied everywhere it is needed.

  • Maintain a live capability gap analysis by domain. Be able to answer, at any time, which assurance is weakest and what it would take to close it.

Market intelligence and outside-in discovery

  • Build and maintain a standing view of the exam security threat landscape — AI-assisted cheating, proxy testing, content harvesting, organised fraud, emerging spoofing techniques — and use it as the primary input to the roadmap.

  • Track competitor and adjacent-industry capability deliberately and continuously. Know where we lead, match or lag, by domain, and say so plainly.

  • Run continuous discovery with candidates, proctors, test centre staff, client programme owners, and our own forensics and operations teams. Discovery is a habit, not a phase at the start of a project.

  • Convert single-client requests into capabilities that serve the whole book of business. Decline bespoke security work with a reasoned, evidenced alternative rather than a refusal.

Evidence, measurement and model performance

  • Instrument every control. Own the metrics that show whether a capability is actually working: detection rate, precision and recall, false-positive burden, appeal and overturn rates, candidate and proctor impact.

  • Partner with data science and analytics on AI and ML-based detection. Set the performance bar, own the precision/recall position, and understand what both error directions cost a real candidate.

  • Ensure the evidence a control produces is defensible — capable of standing up to candidate appeal, client scrutiny, regulator questions and legal challenge. A detection we cannot evidence is not a detection.

  • Close the loop: forensics findings, incident reviews and result holds from live delivery feed straight back into the roadmap.

Delivery partnership

  • Work as one team with Engineering Delivery, Architecture and Security Operations — from discovery through production and into operational life.

  • Write clearly. Crisp problem statements, decision records and product narratives that a senior engineer, a client and an executive can each read and act on.

  • Sequence around outcomes and dependencies, and be accountable for what reaches production — not for the plan.

Advancing how we work

  • Replace project-shaped intake with durable product ownership in your area, and show the rest of the portfolio what good looks like.

  • Coach and partner with programme and project management colleagues through the transition rather than working around them.

  • Contribute to the shared product operating model: discovery practice, roadmap format, decision rights, KPI definitions.

Qualifications and experience

Essential

  • 7+ years in product management, including 3+ years owning security, identity, fraud, risk or trust-and-safety products.

  • Demonstrated ownership of a platform or shared-services product consumed by multiple internal teams or channels — not only end-user features.

  • Experience with detection or classification products built on AI/ML, and genuine fluency in the precision/recall trade-off and its human consequences.

  • Track record in a regulated, high-stakes environment where being wrong has real consequences for an individual: assessment, identity, financial crime, healthcare or similar.

  • Evidence of driving a roadmap from market and threat intelligence rather than from inbound customer requirements.

  • Strong written communication. You can make a complex security trade-off legible to an executive and to an engineer in the same document.

Desired

  • Experience inside an organisation transitioning from project or programme delivery to product management.

  • Background in assessment, certification, proctoring, biometrics or online examination integrity.

  • Familiarity with secure client software, browser lockdown or endpoint integrity.

  • Exposure to accessibility and accommodations, and to the real tension between security controls and equitable access.

 

Applications will be accepted through October 1. This window may be extended depending on business needs.

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 full-time salary range for this role is between $120,000 - $150,000

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

Pearson Boston, Massachusetts, USA Office

300 Venture Way, Boston, United States, 01035

Similar Jobs

6 Days Ago
Remote
United States
100K-140K Annually
Entry level
100K-140K Annually
Entry level
Edtech
Own product strategy and roadmap for assessment authoring, item banking, test assembly, and publishing capabilities. Conduct user discovery, define requirements, prioritize backlogs, guide agile delivery, measure outcomes, and collaborate with engineering, design, data, and stakeholders. Apply AI responsibly while maintaining governance, security, accessibility, assessment integrity, and quality. Drive cross-functional alignment and deliver measurable customer and business results.
Top Skills: Generative AiPrompt EngineeringWcag
7 Minutes Ago
Remote
USA
190K-220K Annually
Senior level
190K-220K Annually
Senior level
Artificial Intelligence • Logistics • Transportation
Build and lead Pallet’s revenue operations function, establishing scalable sales processes, reporting, dashboards, forecasting, pipeline inspection, CRM discipline, territory management, lead routing, account allocation, and commission administration. Partner with Sales, Marketing, and Finance leadership to improve funnel execution, data quality, attribution, accountability, and forecast accuracy as the company scales its B2B SaaS revenue engine.
Top Skills: ApolloClariGongHubspotOutreachSalesforce
20 Minutes Ago
Remote or Hybrid
Waltham, MA, USA
172K-301K Annually
Senior level
172K-301K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and delivery of complex AI-native software features for ServiceNow Flow. Build agent runtimes, tool integrations, prompt and context layers, retrieval systems, evaluation frameworks, and human-in-the-loop controls. Establish AI-assisted development practices, mentor engineers, set engineering standards, partner cross-functionally on product delivery, and own production quality, observability, release readiness, and defect resolution.
Top Skills: Agentic ArchitecturesEnterprise SaasEvaluation HarnessesLarge Language Models (Llms)Microsoft TeamsMulti-Tenant SystemsPrompt EngineeringRetrieval SystemsSlackTypescript

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account