Jobs at Pearson

Sell courseware and digital learning solutions to colleges and universities in Business & Economics. Build pipeline, meet sales targets, engage campus stakeholders via in-person and virtual selling, use CRM and analytics to drive strategy, and collaborate with cross-functional teams to execute account plans and improve learner outcomes.

Lead finance for Pearson’s K12 Assessments portfolio, serving as strategic business partner to the Managing Director and senior finance leadership. Own commercial analysis, forecasting, planning, contract and joint-venture governance, investment decisions, performance reporting, risk management, and financial controls across three businesses. Build a unified finance view, guide pricing and renewal economics, develop performance frameworks, and lead and develop a high-performing finance team.

Leads hands-on modernization of Pearson’s content platform, including large-scale migrations, shared platform services, APIs, AI capabilities, cloud infrastructure, security, reliability, and technical roadmaps. Designs and delivers complex systems, writes production code, resolves high-impact incidents, evaluates technologies, and establishes engineering standards. Mentors senior engineers, influences cross-functional stakeholders, and drives initiatives from exploration through launch while balancing scalability, cost, maintainability, and risk.

Leads strategic, quota-carrying sales across large K-12 school districts in the Eastern United States. Owns territory and account plans, builds executive relationships, develops new business, manages complex sales cycles, negotiates contracts, and drives renewals and expansions. Acts as an assessment strategy advisor, delivering presentations and strategic guidance on accountability, instructional improvement, data use, and student achievement. Maintains Salesforce pipeline and forecasting data while collaborating cross-functionally.

Lead Pearson’s content excellence product work by implementing content standards, taxonomies, metadata, quality frameworks, and improved production workflows. Partner with content teams and leaders, develop training, coach product managers, and advance AI-enabled content generation and quality assurance. Own hands-on content platform builds, migrations, automation prototypes, discovery, measurement, and cross-functional collaboration across product, engineering, design, and editorial teams.

Own end-to-end product programs across Product, Engineering, UX, Content, Finance, and Go-to-Market. Manage roadmaps, OKRs, delivery schedules, dependencies, risks, prioritization, launch readiness, and cross-functional decision-making. Maintain program standards, documentation, Jira data, and reporting while using delivery metrics such as cycle time and throughput to drive decisions. Influence senior leaders without direct authority and lead complex programs from planning through launch.

Own the commercial performance, strategy, pricing, roadmap, and go-to-market execution for Pearson’s Knowledge Suite and Pearson Live Training offerings. The role connects enterprise learning market insight, customer discovery, financial outcomes, learning quality, and AI-enabled transformation. Responsibilities include managing P&L, developing portfolio priorities, coordinating cross-functional teams, supporting sales and marketing, defining success metrics, and using learner and customer data to guide investment decisions.

Leads the design, implementation, and support of complex, scalable software components and distributed systems. Provides technical leadership through architecture decisions, mentoring, code and design reviews, troubleshooting, and engineering standards. Partners with product, quality, architecture, and DevOps teams on secure cloud-native solutions, CI/CD, observability, performance, releases, and platform modernization. Participates in hiring and communicates technical risks and tradeoffs to stakeholders.

Lead the design, development, and architecture of scalable Salesforce solutions using Apex, Lightning Web Components, Flows, integrations, Agentforce, and Salesforce Data Cloud. Responsibilities include AI agent architecture, data ingestion and activation, security and governance, performance optimization, CI/CD support, code reviews, mentoring, troubleshooting, and translating business requirements into technical designs.

Owns a portfolio of midsize and large school district accounts, leading implementation, onboarding, adoption, account health, business reviews, risk recovery, and renewal-focused success strategies. The role builds partner relationships, connects product usage and assessment impact data to customer goals, collaborates cross-functionally, and helps scale Pearson’s customer success processes. Travel of up to 30% is required, with remote-first flexibility.

Develop and review K-12 science assessment content, including test items, passages, performance tasks, specifications, blueprints, and test forms. Use AI tools to create and evaluate accessible educational content. Coordinate writers and educators, support customer meetings, collaborate with psychometricians and development teams, and contribute to large-scale assessment planning, review, and construction.

Analyzes and processes large-scale assessment datasets, maintains psychometric software and statistical code, troubleshoots programs, develops quality controls, coordinates data transfers, supports standard-setting studies, and communicates results. The role also improves workflows, mentors colleagues, supports project planning, and collaborates with psychometricians and technical teams.

Develops and reviews K–12 physical science assessment content, including test items, passages, performance tasks, simulations, specifications, blueprints, and test forms. Uses AI tools to create and evaluate educational content while ensuring quality and accessibility. Coordinates writers and educators, supports customer meetings, collaborates with psychometricians and development teams, and contributes to test construction and review. Some travel is required.

Own the MTSS product roadmap for universal screening and progress monitoring assessments. Lead product discovery, platform capability development, prioritization, commercialization, RFP support, sales enablement, and customer training. Collaborate with educators, districts, psychometrics, research, content, engineering, design, sales, and marketing teams to launch and improve digital assessment products. Use customer feedback, research, and product data to guide investment and adoption.

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.

Lead design, validation, and continuous improvement of AI-assisted measurement and learning systems for K-12 assessments. Translate measurement intent into reproducible AI workflows, prototype AI-assisted content generation, ensure outputs meet validity, fairness, accessibility, and instructional standards, design validation and monitoring frameworks, partner with cross-functional teams (AI Science, Technology, Content), and contribute research, documentation, and thought leadership on intelligent assessment and learning systems.

Lead end-to-end Source to Pay (S2P) and Record to Report (R2R) finance processes, provide functional ownership of Oracle EBS and Fusion Cloud modules, ensure month‑end close integrity, SOX controls, stakeholder engagement, and drive system implementations and continuous improvement for US finance operations.

Build dashboards and reports tracking enrollment, attendance, engagement, and attrition. Develop predictive models to identify at-risk students, analyze withdrawal causes, monitor early-warning indicators, partner with cross-functional teams to design retention interventions, and present insights to leadership while supporting data pipeline accuracy.

Serve as technical leader and solution architect for Salesforce marketing platforms. Design end-to-end architectures, own implementation and integrations, enable stakeholders with documentation and training, enforce governance and standards, and guide platform modernization including Data Cloud and Marketing Cloud Next adoption.

Lead complex, cross-functional AI programs end-to-end: translate strategy into integrated plans, drive multi-team execution, mitigate risks (data, model, compliance), apply ML lifecycle practices, use Agile/kanban methods, manage budgets/vendors, communicate to senior stakeholders, and mentor other program managers to improve AI program standards.