Pearson

Design and maintain Ruby on Rails services and React frontends, lead complex scalable feature delivery, collaborate across teams, and mentor junior engineers. | The role requires extensive professional software development experience, Ruby on Rails, React, AWS, PostgreSQL, distributed systems, system design, and strong communication. | Software Engineer III   What You'll Do * Design, build, and maintain Ruby on Rails services and APIs alongside modern JavaScript/React frontends, taking responsibility for their quality, performance, and reliability * Lead the design and delivery of complex, well-scoped features and systems end to end * Write clear, maintainable, well-tested code and reduce complexity by simplifying services, improving patterns, and paying down technical debt * Mentor junior engineers and level up the team through code reviews, feedback, and knowledge sharing * Evolve the platform to support new services and capabilities, including work across adjacent codebases and domains * Partner with external vendors and stakeholders across Product and Customer Success to turn requirements into sound technical solutions * Use AI-assisted development tools for coding, testing, and debugging * Follow and promote best practices for secure, scalable, cloud-native web application development What We're Looking For * 7+ years of professional software development experience * Proficiency with our core stack: Ruby on Rails, React, AWS, and PostgreSQL * Proven track record of making high-impact technical decisions in complex production environments, shipping well-tested code, and giving constructive code reviews * Excellent cross-functional communication, equally effective with engineers and non-technical stakeholders * Experience in software architecture, system design, and scalability with a strong hands-on background * Experience mentoring or supporting junior engineers * Experience with distributed or service-oriented systems and asynchronous, event-driven communication between services * Comfort working across more than one codebase and ramping quickly into unfamiliar systems AI-Native Expectations You should be comfortable using AI tools to assist with coding, testing, documentation, and learning, and, importantly, exercising sound engineering judgment about their output. This means validating AI-generated code, knowing when to rely on it and when not to and staying curious about how AI can responsibly improve developer productivity across the team. Nice to Have * Hands-on experience designing, deploying, and operating production workloads on AWS and Azure * Experience building and improving CI/CD pipelines and automated deployment practices that raise delivery velocity across the team * Experience integrating with, or building alongside, third-party or vendor-delivered services * Strong understanding of web application security best practices with a track record of raising the security bar across a codebase * Experience with design systems, component libraries, or advanced frontend tooling * Experience with scalability, resilience, or performance work at scale * Experience with messaging or event-streaming systems such as Apache Pulsar or Apache Kafka   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 $150,000 - $170,000 This position is eligible to participate in an annual incentive program, and information on benefits offered is here

Lead testing strategy and automation, ensure release readiness and platform reliability, and mentor cross-functional teams on quality practices. | Requires a technical bachelor's degree and at least five years in quality engineering or software testing, with strong automation framework, test strategy, and Agile experience. | Senior Quality Engineer  Help shape the future of assessment technology by leading quality engineering across two mission-critical Pearson platforms: ExamDeveloper, our exam authoring and management platform, and OnVUE, our industry-leading remote proctoring and exam delivery solution. You will drive testing excellence, automation maturity, and release confidence across platforms that support the full assessment lifecycle, from exam creation through secure exam delivery. Also known in the market as: Senior QA Engineer, Senior Test Automation Engineer, Quality Engineering Lead, Senior Quality Engineer, Test Automation Lead. About the Role As a Senior Quality Engineer, you will serve as a technical authority for quality across one or more product domains. You will lead quality strategy, test planning, automation initiatives, and release readiness efforts while partnering with engineering, product, architecture, DevOps, security, and operations teams. This role combines hands-on testing and automation with leadership through influence. You will help solve complex quality challenges, strengthen automation practices, mentor fellow quality engineers, and ensure the reliability, security, accessibility, and scalability of products used by millions of learners, certification candidates, and testing organizations worldwide. The Opportunities  We are currently hiring multiple Senior Quality Engineer positions across our ExamDeveloper and OnVUE product teams: * OnVue / Exam Developer - OnVUE offers a growth and governance opportunity across online proctoring and vendor partnerships. ExamDeveloper needs transformation, quality improvement and more sustainable processes. Final product alignment will be discussed during screening.    Together, these platforms support the assessment journey from exam creation to exam delivery, making quality engineering critical to both customer success and candidate experience. What You'll Do * Lead test strategy and quality planning for new features, platform enhancements, and releases. * Design comprehensive test approaches spanning functional, integration, regression, API, accessibility, negative, and end-to-end testing. * Build, maintain, and improve automated testing coverage across web, API, and workflow scenarios. * Perform hands-on testing for complex, high-risk, cross-functional initiatives. * Define and enforce quality gates and release readiness criteria. * Lead defect triage, root cause analysis, retesting, and validation activities. * Review automation and regression results, identify trends, and improve reliability and coverage. * Partner with Product Managers, Business Analysts, Architects, Developers, DevOps, Security, and Operations teams throughout the development lifecycle. * Use metrics, production insights, telemetry, and defect trends to continuously improve quality practices. * Mentor and coach quality engineers in automation design, test strategy, accessibility validation, and release readiness. * Identify quality risks early and drive proactive mitigation plans.   What We're Looking For * Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. * 5+ years of professional quality engineering, software testing, or test automation experience. * Experience leading quality efforts for complex web-based, cloud-hosted, or customer-facing applications. * Strong knowledge of test strategy, defect management, regression planning, and release validation. * Demonstrated experience providing technical guidance and mentoring within Agile engineering teams. * Strong understanding of automation-first testing principles and quality engineering best practices.   Preferred Qualifications * Experience with Selenium, WebDriver, Playwright, or comparable automation frameworks. * Experience with BDD testing frameworks, including Gauge or similar tools. * Experience testing UI, API, integration, and end-to-end workflows. * Familiarity with Java, C#, REST APIs, and modern CI/CD practices. * Strong SQL and database validation skills. * Experience investigating production issues using logs, telemetry, dashboards, and monitoring tools. * Experience validating accessibility requirements and user experience quality. * Knowledge of distributed systems, cloud-based applications, and scalable architectures. * Experience working with globally distributed teams, offshore partners, or vendor-supported delivery models. * Experience leveraging AI-assisted development and testing tools responsibly, including validation of AI-generated outputs. What Success Looks Like * Quality strategy and test coverage are visible, measurable, and aligned with business priorities. * Stories and defects are supported by clear testing evidence and traceability. * Automation coverage, regression effectiveness, and release confidence continue to improve. * Critical production defects and quality escapes are minimized. * Quality risks are identified early and managed effectively. * The broader quality engineering organization benefits from your mentorship, technical leadership, and continuous improvement mindset. Location & Working Pattern United States. Remote within the United States. Any state restrictions or travel expectations will be shared during the recruitment process. Compensation Compensation at Pearson is influenced by factors including skill set, experience, and location. The full-time salary range for this role is $110,000 - $120,000. This position is eligible to participate in Pearson’s sales incentive plan. Information on benefits can be found here. [https://pearsonbenefitsglobal.com/] Applications will be accepted through November 9, 2026. This window may be extended depending on business needs. Why Join Pearson? This is an opportunity to develop engineering talent, strengthen delivery and quality practices, and help teams adopt emerging AI-assisted ways of working across technology that supports assessment experiences at scale.

Design and maintain scalable backend services, RESTful APIs, data pipelines, frontend applications, and cloud infrastructure. | Strong expertise in Python, Django, Nuxt, AWS serverless, data engineering, and Terraform. | Data Engineer / Full Stack Engineer (Python, Django, Nuxt, AWS) Position Summary We are seeking a highly skilled Data Engineer / Full Stack Engineer with strong experience in Python-based backend development, modern frontend frameworks, data engineering, and AWS cloud services. This role will be responsible for building and maintaining scalable applications, data pipelines, APIs, and cloud-native services that support enterprise platforms and automation ecosystems. The ideal candidate will have hands-on expertise in Django/DRF, Nuxt/Vue, AWS serverless and infrastructure services, and data transformation frameworks including AWS Glue. This individual should be comfortable working across backend systems, frontend applications, cloud infrastructure, and data engineering workflows in a distributed Agile environment. -------------------------------------------------------------------------------- Key Responsibilities * Design, develop, and maintain scalable backend services using Python, Django, and Django REST Framework (DRF). * Build and document RESTful APIs using DRF / OpenAPI / Swagger. * Implement robust data validation and API response modeling using Pydantic. * Develop secure authentication and authorization mechanisms using django-rest-knox, OAuth, and MSAL/Azure AD integrations. * Create and maintain modern frontend applications using Nuxt 4, Vue 3, and TypeScript. * Manage frontend state using Pinia and build responsive UI solutions with Tailwind CSS and Nuxt UI. * Design and optimize data engineering pipelines for ingestion, transformation, validation, and delivery of structured and semi-structured data. * Build and support ETL/ELT workflows using AWS Glue, Pandas, NumPy, and other transformation tools. * Develop data transformation processes to improve data quality, consistency, and downstream usability. * Implement event-driven and asynchronous architectures using AWS SQS, SNS, Lambda, and EventBridge. * Build and support serverless applications using AWS Lambda and Mangum (ASGI adapter). * Manage caching and session layers using Redis / ElastiCache. * Design and optimize relational database solutions with PostgreSQL 14+, including schema design, indexing, and query performance tuning. * Develop reusable and modular adapter patterns for structured data entities and integrations. * Provision and manage cloud infrastructure using AWS CDK (Python) and Terraform. * Support containerization and deployment workflows using Docker and Amazon ECR. * Build and maintain CI/CD pipelines with GitHub Actions, including automated testing and deployment. * Ensure software quality through unit, regression, functional, and load testing practices. * Participate in code reviews, architecture discussions, and Agile ceremonies with distributed teams. * Follow AWS security and operational best practices, including IAM, Secrets Manager, WAF, and secure credential handling. -------------------------------------------------------------------------------- Required Technical Skills Backend Development * Python, Django, Django REST Framework (DRF) * Pydantic for data validation and API response modeling * RESTful API design with DRF (OpenAPI/Swagger documentation) * Token-based authentication using django-rest-knox * Asynchronous processing with AWS SQS message queues and Lambda event sources * Serverless architecture using AWS Lambda with Mangum (ASGI adapter) * Redis for caching and session management * PostgreSQL 14+ (relational database design, query optimization) * Pandas/NumPy for data processing and transformation pipelines * OAuth/MSAL integration (Azure AD via django-auth-adfs, MSAL) * Modular adapter patterns for structured data entities Frontend Development * Nuxt 4 (Vue 3, TypeScript), Server-Side Rendering * Pinia for state management * Tailwind CSS 4 and Nuxt UI 3 component library * Azure MSAL Browser for frontend authentication * Vitest for unit testing, Playwright for E2E testing Data Engineering * Data engineering experience with batch and event-driven data pipelines * Hands-on experience with AWS Glue * Strong background in data transformation, cleansing, normalization, and validation * Experience building ETL/ELT workflows for analytics and operational use cases * Ability to work with structured and semi-structured datasets across cloud platforms Cloud & Infrastructure (AWS) * AWS CDK (Python) and Terraform for Infrastructure as Code * AWS services: Lambda, SQS, SNS, S3, RDS (PostgreSQL), ElastiCache (Redis), CloudFront, ALB, ECR, VPC networking, WAFv2, Route 53, EventBridge * Docker containerization and ECR image management * CI/CD with GitHub Actions (automated deployments, test suites) Testing & Quality * pytest / pytest-django for backend testing * Vitest / Vue Test Utils for frontend testing * Functional, regression, and load testing within automation-driven ecosystems * Test coverage tooling and quality gates (e.g., SonarQube) Collaboration & Process * Git/GitHub workflows and code review practices * Experience working in distributed Agile teams * Event-driven design patterns * Familiarity with cloud-based infrastructure and serverless patterns -------------------------------------------------------------------------------- Preferred / Bonus Skills * SAS experience (statistical analysis, data processing) * Experience with OpenAPI specification and API documentation * AWS security best practices (IAM, Secrets Manager, WAF) * Experience with encrypted field storage and credential management -------------------------------------------------------------------------------- Ideal Candidate Profile The ideal candidate is a technically strong engineer who can work across application development, cloud architecture, and data engineering. They are comfortable building APIs, frontend interfaces, serverless systems, and data transformation pipelines, while maintaining strong standards for scalability, security, and software quality. 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 $80,000 - $90,000 This position is eligible to participate in an annual incentive program, and information on benefits offered is here [https://nam02.safelinks.protection.outlook.com/?url=https://pearsonbenefitsus.com/&data=04|01|tasha.scott@pearson.com|2c256513c79f4679be7c08d9e7287ebb|8cc434d797d047d3b5c514fe0e33e34b|0|0|637794983376381246|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000&sdata=t1YQPUL7BgoclUd7yE2i86QAirLf4z3z8OEWgr42q7c=&reserved=0].  Applications will be accepted through 17th August 2026. This window may be extended depending on business needs. #LI-EB1

Analyze customer experience data to identify trends and create dashboards for strategic decision-making. | Bachelor's degree and experience in CX analysis or business intelligence with strong communication skills. | The Lead Specialist, Business Analytics for Customer Experience (CX) leverages CX best practices and strong data analysis to ensure the business has actionable insights based on structured and unstructured customer feedback. They work closely with the business to:  * Define use cases for new data models or views that empower teams to make decisions  * Identify gaps and/or areas for growth in data collection across the end-to-end customer journey  * Identify new sources of customer feedback for inclusion in aggregated CX analysis  * Leverage AI and automation to increase engagement with closed feedback loop activities    Key Responsibilities  * Analyze customer experience data across products, business units, and geographies to identify trends, patterns, and opportunities that inform strategic decisions.  * Develop actionable insights and reporting outputs that support business-defined use cases and enable data-informed decision-making.  * Prepare and present analysis-based reports to stakeholders, tailoring findings to business needs and audience priorities.  * Design, build, and maintain self-service dashboards that enable business teams to access and interpret customer experience insights independently.  * Apply statistical analysis techniques to support customer segmentation, audience deep dives, and other advanced analytical needs.  * Build and maintain topic models that support business use cases and provide deeper visibility into the end-to-end customer journey.    Required Skills  * Experience with Customer Experience measurement principles and techniques (including the use of the NPS and/or CSAT metrics).  * Experience with reporting, analysis, and data visualization tools (ex. Tableau, Google Data Studio, Excel).  * Demonstrated ability to facilitate discussions, communicate clearly, manage time effectively, and build strong stakeholder relationships.  * Strong problem-solving and critical-thinking skills, with the ability to analyze complex information.  * Ability to understand organizational priorities and connect analytical work to business outcomes.  * Experience supporting data, reporting, business intelligence, or data warehouse initiatives.    Preferred Skills  * Experience with Qualtrics or similar survey tooling  * Familiarity with Jira and Confluence  * Experience in using AI to capture and/or analyze customer behavior or feedback  * Familiarity with web marketing: SEO, AdWords, Social Media tagging, UTM parameters  * Data and data formatting: Proficient with multiple data formats: including JSON, XML and CSV.    Qualifications  * BA or BS degree in Business, Communications, Information Systems, Data Science, Math or relevant experience  * Experience as a CX Analyst, Business Analyst, or related role  * Ability to manage multiple priorities and deadlines effectively    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 $100,000 - $120,000.  This position is eligible to participate in an annual incentive program, and information on benefits offered is here [https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpearsonbenefitsus.com%2F&data=04%7C01%7Ctasha.scott%40pearson.com%7C2c256513c79f4679be7c08d9e7287ebb%7C8cc434d797d047d3b5c514fe0e33e34b%7C0%7C0%7C637794983376381246%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=t1YQPUL7BgoclUd7yE2i86QAirLf4z3z8OEWgr42q7c%3D&reserved=0].    Applications will be accepted through 14th of October. This window may be extended depending on business needs. #LI-EB1

Design, build, and maintain Ruby on Rails services and React frontends while leading complex feature delivery and mentoring junior engineers. | 7+ years professional experience with Ruby on Rails, React, AWS, PostgreSQL, strong system design and scalability skills, and effective use of AI-assisted development tools. | Software Engineer III   What You'll Do * Design, build, and maintain Ruby on Rails services and APIs alongside modern JavaScript/React frontends, taking responsibility for their quality, performance, and reliability * Lead the design and delivery of complex, well-scoped features and systems end to end * Write clear, maintainable, well-tested code and reduce complexity by simplifying services, improving patterns, and paying down technical debt * Mentor junior engineers and level up the team through code reviews, feedback, and knowledge sharing * Evolve the platform to support new services and capabilities, including work across adjacent codebases and domains * Partner with external vendors and stakeholders across Product and Customer Success to turn requirements into sound technical solutions * Use AI-assisted development tools for coding, testing, and debugging * Follow and promote best practices for secure, scalable, cloud-native web application development What We're Looking For * 7+ years of professional software development experience * Proficiency with our core stack: Ruby on Rails, React, AWS, and PostgreSQL * Proven track record of making high-impact technical decisions in complex production environments, shipping well-tested code, and giving constructive code reviews * Excellent cross-functional communication, equally effective with engineers and non-technical stakeholders * Experience in software architecture, system design, and scalability with a strong hands-on background * Experience mentoring or supporting junior engineers * Experience with distributed or service-oriented systems and asynchronous, event-driven communication between services * Comfort working across more than one codebase and ramping quickly into unfamiliar systems AI-Native Expectations You should be comfortable using AI tools to assist with coding, testing, documentation, and learning, and, importantly, exercising sound engineering judgment about their output. This means validating AI-generated code, knowing when to rely on it and when not to and staying curious about how AI can responsibly improve developer productivity across the team. Nice to Have * Hands-on experience designing, deploying, and operating production workloads on AWS and Azure * Experience building and improving CI/CD pipelines and automated deployment practices that raise delivery velocity across the team * Experience integrating with, or building alongside, third-party or vendor-delivered services * Strong understanding of web application security best practices with a track record of raising the security bar across a codebase * Experience with design systems, component libraries, or advanced frontend tooling * Experience with scalability, resilience, or performance work at scale * Experience with messaging or event-streaming systems such as Apache Pulsar or Apache Kafka   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 $150,000 - $170,000 This position is eligible to participate in an annual incentive program, and information on benefits offered is here

Lead and execute comprehensive marketing strategies including digital campaigns, AI integration, and content creation to drive growth and engagement. | Experienced marketer with strong digital, AI, and content skills, capable of managing complex marketing projects and collaborating cross-functionally. | JOb TITLE - Advanced specialist, product Marketing DESCRIPTION: Also known in the market as Product Marketing Manager Pearson Enterprise Learning & Skills empowers businesses, governments, and professional communities with world‑class learning, assessment, and workforce development solutions. We help organizations plan, assess, and grow their talent through AI-driven insights, innovative assessments, and industry-recognized certifications. Our goal is simple. We want people to thrive in work and in life, and we equip global enterprises with the tools to make that possible. We partner with C-suite executives, IT, HR, and L&D leaders to help them future-proof their workforce. Our solutions unlock potential, build capability, and create stronger teams in a rapidly changing world. Location - US, preference will be given to candidates in the Eastern/Central time zones to allow sufficient overlap with European colleagues. Role Overview This is a high-impact role that sits at the center of Pearson’s next chapter of innovation. As a Product Marketing Manager, you will play a critical role in shaping our go-to-market approach for our top product portfolio. You will lead the plan for several key initiatives from strategy through execution while working closely with internal and external creative teams. Initial Areas of Focus • Build and scale a net-new growth program targeting emerging audiences and market opportunities, creating the audience strategy, go-to-market approach, messaging, content ecosystem, and activation framework needed to drive adoption and revenue. • Build and lead a comprehensive competitive marketing program that strengthens Pearson's market position through competitive intelligence, SEO strategy, analyst and influencer engagement, and a robust comparison content strategy. • Develop high-impact buyer guides, competitive comparisons, thought leadership, and response frameworks that counter misleading competitive narratives, address market misinformation, and help Pearson win high-intent buying conversations while reinforcing our unique value and differentiation. Key Responsibilities • Serve as a strategic product marketing partner for assigned projects, quickly building subject matter expertise and translating complex offerings into clear, compelling market narratives. • Develop and execute go-to-market plans, with clear objectives, audiences, deliverables, owners, milestones, and measures of success. • Conduct competitive and market analysis using buyer research, search behaviour, review sites, competitor content, and other relevant data sources. • Create differentiated positioning, messaging, comparison content, buyer guides, sales enablement, case studies, pitch materials, and product marketing assets. • Partner with Digital teams on SEO, paid and organic activation, audience journeys, and campaign execution. • Manage multiple projects and shifting priorities with strong judgment, transparency, and follow-through. Who You Are Essential Qualifications and Experience • 8+ years of product marketing experience within a global organization, ideally supporting B2B, enterprise, SaaS, technology, learning, HR, or workforce solutions. • Demonstrated experience in competitive marketing, including competitive intelligence, differentiated positioning, comparison content, sales enablement, competitive SEO, or reputation defense. • Proven experience developing and executing go-to-market plans from strategy through activation and measurement. • Strong project leadership skills, with the ability to enter a new area quickly, create structure, drive cross-functional alignment, and deliver high-quality work on time. • Excellent writing and storytelling skills, with the ability to simplify complexity and create persuasive content for buyers, sellers, partners, and senior stakeholders. • Analytical mindset with experience measuring performance, tracking ROI, and applying insight to optimize outcomes. • Ability to operate effectively in a flexible, project-based role where assignments and priorities may evolve. 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 $70-120k. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. How to Apply: Interested candidates are invited to submit their resume and a cover letter outlining their qualifications and experience to https://pearson.jobs/ Pearson is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Application Deadline: Applications will be accepted through July 29th , 2026. This window has now been extended. Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. 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 emailing TalentExperienceGlobalTeam@grp.pearson.com. Job: Marketing Job Family: GOTOMARKET Organization: Corporate Marketing & Communications Schedule: FULL_TIME Workplace Type: Remote Req ID: 25095 #location

Lead product marketing strategies including go-to-market plans, competitive analysis, and content creation to drive adoption and revenue. | 8+ years product marketing experience in global B2B SaaS or related fields with strong competitive marketing and project leadership skills. | JOb TITLE - Advanced specialist, product Marketing DESCRIPTION: Also known in the market as Product Marketing Manager Pearson Enterprise Learning & Skills empowers businesses, governments, and professional communities with world‑class learning, assessment, and workforce development solutions. We help organizations plan, assess, and grow their talent through AI-driven insights, innovative assessments, and industry-recognized certifications. Our goal is simple. We want people to thrive in work and in life, and we equip global enterprises with the tools to make that possible. We partner with C-suite executives, IT, HR, and L&D leaders to help them future-proof their workforce. Our solutions unlock potential, build capability, and create stronger teams in a rapidly changing world. Location - US, preference will be given to candidates in the Eastern/Central time zones to allow sufficient overlap with European colleagues. Role Overview This is a high-impact role that sits at the center of Pearson’s next chapter of innovation. As a Product Marketing Manager, you will play a critical role in shaping our go-to-market approach for our top product portfolio. You will lead the plan for several key initiatives from strategy through execution while working closely with internal and external creative teams. Initial Areas of Focus • Build and scale a net-new growth program targeting emerging audiences and market opportunities, creating the audience strategy, go-to-market approach, messaging, content ecosystem, and activation framework needed to drive adoption and revenue. • Build and lead a comprehensive competitive marketing program that strengthens Pearson's market position through competitive intelligence, SEO strategy, analyst and influencer engagement, and a robust comparison content strategy. • Develop high-impact buyer guides, competitive comparisons, thought leadership, and response frameworks that counter misleading competitive narratives, address market misinformation, and help Pearson win high-intent buying conversations while reinforcing our unique value and differentiation. Key Responsibilities • Serve as a strategic product marketing partner for assigned projects, quickly building subject matter expertise and translating complex offerings into clear, compelling market narratives. • Develop and execute go-to-market plans, with clear objectives, audiences, deliverables, owners, milestones, and measures of success. • Conduct competitive and market analysis using buyer research, search behaviour, review sites, competitor content, and other relevant data sources. • Create differentiated positioning, messaging, comparison content, buyer guides, sales enablement, case studies, pitch materials, and product marketing assets. • Partner with Digital teams on SEO, paid and organic activation, audience journeys, and campaign execution. • Manage multiple projects and shifting priorities with strong judgment, transparency, and follow-through. Who You Are Essential Qualifications and Experience • 8+ years of product marketing experience within a global organization, ideally supporting B2B, enterprise, SaaS, technology, learning, HR, or workforce solutions. • Demonstrated experience in competitive marketing, including competitive intelligence, differentiated positioning, comparison content, sales enablement, competitive SEO, or reputation defense. • Proven experience developing and executing go-to-market plans from strategy through activation and measurement. • Strong project leadership skills, with the ability to enter a new area quickly, create structure, drive cross-functional alignment, and deliver high-quality work on time. • Excellent writing and storytelling skills, with the ability to simplify complexity and create persuasive content for buyers, sellers, partners, and senior stakeholders. • Analytical mindset with experience measuring performance, tracking ROI, and applying insight to optimize outcomes. • Ability to operate effectively in a flexible, project-based role where assignments and priorities may evolve. 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 $70-120k. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. How to Apply: Interested candidates are invited to submit their resume and a cover letter outlining their qualifications and experience to https://pearson.jobs/ Pearson is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Application Deadline: Applications will be accepted through July 29th , 2026. This window has now been extended. Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. 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 emailing TalentExperienceGlobalTeam@grp.pearson.com. Job: Marketing Job Family: GOTOMARKET Organization: Corporate Marketing & Communications Schedule: FULL_TIME Workplace Type: Remote Req ID: 25095 #location

Lead and manage multiple engineering teams to deliver AI-powered content platform services while setting technical standards and fostering team growth. | Requires 10+ years software engineering experience, 4+ years people management, AI production experience, and strong leadership and communication skills. | Software Engineering Team Manager (USA) About PSG-CP Pearson is the world's lifelong learning company, and PSG-CP (Pearson Software Group - Content Platform) is the organization powering how that learning gets created, enriched, delivered, and measured. PSG-CP's focus is content. We handle authoring, semantic enrichment, transformation, delivery, assessment, and analytics, serving every Pearson line of business and millions of learners worldwide. We are reshaping the platform around AI in a serious way, and we are looking for a leader who wants to build that with us. About the role PSG-CP is in need of a leader who can help manage our global team of engineeers to help our lines of business receive the content they need to power their applications. The engineering team is embedded directly with our most strategic internal businesses and ship production AI applications against real problems. Running software, not decks or specs. As this practice grows, we need a founding leader to build and scale it. This role leads four teams at the heart of the PSG-CP platform: Prizm, Semantics, Transformation, and Delivery Services. These are the groups that own how content is structured, semantically enriched, transformed, and delivered at global scale. Your job is to lead them forward while changing how they work: closer to the businesses they serve, faster from "we need something that does X" to "here, try this," and increasingly built around frontier AI. You will hire and develop a strong group of engineers and set the technical and operational bar for engagements with lines of business, and build the playbooks that turn one-off wins into repeatable patterns. This is a player-coach role with a strong bias toward leadership. You will stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters, but your primary impact will come from the people you hire, the standards you set, and the culture you create. You will partner with Product, Architecture, and leaders across Pearson's lines of business to shape how the content platform evolves, and your team's field insights will directly influence platform direction. Responsibilities • Set a high bar for technical talent, customer instincts, and AI-first engineering judgment. • Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where strong engineers do the best work of their careers. • Staff and oversee engagements with lines of business across your team's portfolio, making resource allocation decisions that balance stakeholder needs, platform health, team development, and business priorities. • Own delivery across the Prizm, Semantics, Transformation, and Delivery Services roadmaps, keeping the core platform reliable, scaled, and moving. • Work with line-of-business leaders to qualify engagements, scope work, and set expectations before your team commits. Own the relationship through the lifecycle of the engagement, not just the kickoff. • Review technical architectures and code produced by your teams, ensuring they ship high-quality, production-ready solutions that meet enterprise expectations for reliability, observability, security, and cost. • Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex production issues alongside your team when needed. • Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Route field-proven patterns back into the platform teams so wins compound instead of staying one-off. • Set and uphold a high standard for AI-augmented engineering practice. Coach the team on the effective, responsible use of agentic coding tools, and shape how AI fits into how this group designs, ships, and operates software. • Define team OKRs that tie to line-of-business outcomes and platform adoption goals. Create operational cadences (standups, retros, engagement reviews, design reviews, incident reviews) that keep the teams aligned, accountable, and continuously improving. • Partner with Product and Architecture to translate field insights into platform improvements. Serve as the voice of the internal customer in planning. • Represent the platform with senior stakeholders across lines of business at the highest level. You may be a good fit if you have • 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. • 4+ years of people management experience with a track record of hiring, developing, and retaining strong engineers, ideally within a services, post-sales, or forward deployed organization. • Experience building teams or practices from 0 to 1, plus the judgment to do that inside an organization with real systems already in production. • Experience working directly with enterprise stakeholders on technical implementations, including comfort navigating complex organizational dynamics in a large company. • Real production experience building on large language models and generative AI: agents, retrieval, evaluation frameworks, prompt management, guardrails, and the harder operational realities of running AI in production (rate limits, non-determinism, provider outages, schema drift, cost and latency). • A genuine point of view on AI-first engineering. You use agentic coding tools daily, you have opinions on which tools work best for which tasks, and you have shaped team practice around responsible AI adoption. • Enough depth in distributed backend systems and cloud-native architectures (AWS, Azure, or GCP) to credibly review what your teams ship: services, async processing, event-driven pipelines, and content and data systems at scale. • Strong operational instincts around observability, on-call, incident response, security, and the kind of platform discipline that keeps services trustworthy at multi-tenant scale. • Executive presence and the ability to move between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers without losing either audience. • Strong written and verbal communication skills. You can translate technical complexity into clear narratives for different audiences. • Genuine excitement about building something new and defining what great looks like for a practice that doesn't yet exist. Logistics • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. The full-time salary range is between $170,000 - $190,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. Applications will be accepted through 26th July 2026. This window may be extended depending on business needs. Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. 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 emailing TalentExperienceGlobalTeam@grp.pearson.com. Job: Engineering Job Family: TECHNOLOGY Organization: Direct to Consumer Schedule: FULL_TIME Workplace Type: Remote Req ID: 24662 #location

Lead and manage multiple engineering teams to deliver AI-powered content platform services while setting technical and operational standards. | 10+ years software engineering experience, 4+ years people management, AI-first engineering expertise, and strong leadership in distributed backend and cloud-native systems. | Software Engineering Team Manager (USA) About PSG-CP Pearson is the world's lifelong learning company, and PSG-CP (Pearson Software Group - Content Platform) is the organization powering how that learning gets created, enriched, delivered, and measured. PSG-CP's focus is content. We handle authoring, semantic enrichment, transformation, delivery, assessment, and analytics, serving every Pearson line of business and millions of learners worldwide. We are reshaping the platform around AI in a serious way, and we are looking for a leader who wants to build that with us. About the role PSG-CP is in need of a leader who can help manage our global team of engineeers to help our lines of business receive the content they need to power their applications. The engineering team is embedded directly with our most strategic internal businesses and ship production AI applications against real problems. Running software, not decks or specs. As this practice grows, we need a founding leader to build and scale it. This role leads four teams at the heart of the PSG-CP platform: Prizm, Semantics, Transformation, and Delivery Services. These are the groups that own how content is structured, semantically enriched, transformed, and delivered at global scale. Your job is to lead them forward while changing how they work: closer to the businesses they serve, faster from "we need something that does X" to "here, try this," and increasingly built around frontier AI. You will hire and develop a strong group of engineers and set the technical and operational bar for engagements with lines of business, and build the playbooks that turn one-off wins into repeatable patterns. This is a player-coach role with a strong bias toward leadership. You will stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters, but your primary impact will come from the people you hire, the standards you set, and the culture you create. You will partner with Product, Architecture, and leaders across Pearson's lines of business to shape how the content platform evolves, and your team's field insights will directly influence platform direction. Responsibilities • Set a high bar for technical talent, customer instincts, and AI-first engineering judgment. • Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where strong engineers do the best work of their careers. • Staff and oversee engagements with lines of business across your team's portfolio, making resource allocation decisions that balance stakeholder needs, platform health, team development, and business priorities. • Own delivery across the Prizm, Semantics, Transformation, and Delivery Services roadmaps, keeping the core platform reliable, scaled, and moving. • Work with line-of-business leaders to qualify engagements, scope work, and set expectations before your team commits. Own the relationship through the lifecycle of the engagement, not just the kickoff. • Review technical architectures and code produced by your teams, ensuring they ship high-quality, production-ready solutions that meet enterprise expectations for reliability, observability, security, and cost. • Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex production issues alongside your team when needed. • Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Route field-proven patterns back into the platform teams so wins compound instead of staying one-off. • Set and uphold a high standard for AI-augmented engineering practice. Coach the team on the effective, responsible use of agentic coding tools, and shape how AI fits into how this group designs, ships, and operates software. • Define team OKRs that tie to line-of-business outcomes and platform adoption goals. Create operational cadences (standups, retros, engagement reviews, design reviews, incident reviews) that keep the teams aligned, accountable, and continuously improving. • Partner with Product and Architecture to translate field insights into platform improvements. Serve as the voice of the internal customer in planning. • Represent the platform with senior stakeholders across lines of business at the highest level. You may be a good fit if you have • 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. • 4+ years of people management experience with a track record of hiring, developing, and retaining strong engineers, ideally within a services, post-sales, or forward deployed organization. • Experience building teams or practices from 0 to 1, plus the judgment to do that inside an organization with real systems already in production. • Experience working directly with enterprise stakeholders on technical implementations, including comfort navigating complex organizational dynamics in a large company. • Real production experience building on large language models and generative AI: agents, retrieval, evaluation frameworks, prompt management, guardrails, and the harder operational realities of running AI in production (rate limits, non-determinism, provider outages, schema drift, cost and latency). • A genuine point of view on AI-first engineering. You use agentic coding tools daily, you have opinions on which tools work best for which tasks, and you have shaped team practice around responsible AI adoption. • Enough depth in distributed backend systems and cloud-native architectures (AWS, Azure, or GCP) to credibly review what your teams ship: services, async processing, event-driven pipelines, and content and data systems at scale. • Strong operational instincts around observability, on-call, incident response, security, and the kind of platform discipline that keeps services trustworthy at multi-tenant scale. • Executive presence and the ability to move between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers without losing either audience. • Strong written and verbal communication skills. You can translate technical complexity into clear narratives for different audiences. • Genuine excitement about building something new and defining what great looks like for a practice that doesn't yet exist. Logistics • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. The full-time salary range is between $170,000 - $190,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. Applications will be accepted through 26th July 2026. This window may be extended depending on business needs. Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. 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 emailing TalentExperienceGlobalTeam@grp.pearson.com. Job: Engineering Job Family: TECHNOLOGY Organization: Direct to Consumer Schedule: FULL_TIME Workplace Type: Remote Req ID: 24662 #location

Lead and manage multiple engineering teams to deliver AI-powered content platform services at scale. | Requires 10+ years software engineering, 4+ years people management, experience with AI production systems, and strong leadership skills. | Software Engineering Team Manager (USA) About PSG-CP Pearson is the world's lifelong learning company, and PSG-CP (Pearson Software Group - Content Platform) is the organization powering how that learning gets created, enriched, delivered, and measured. PSG-CP's focus is content. We handle authoring, semantic enrichment, transformation, delivery, assessment, and analytics, serving every Pearson line of business and millions of learners worldwide. We are reshaping the platform around AI in a serious way, and we are looking for a leader who wants to build that with us. About the role PSG-CP is in need of a leader who can help manage our global team of engineeers to help our lines of business receive the content they need to power their applications. The engineering team is embedded directly with our most strategic internal businesses and ship production AI applications against real problems. Running software, not decks or specs. As this practice grows, we need a founding leader to build and scale it. This role leads four teams at the heart of the PSG-CP platform: Prizm, Semantics, Transformation, and Delivery Services. These are the groups that own how content is structured, semantically enriched, transformed, and delivered at global scale. Your job is to lead them forward while changing how they work: closer to the businesses they serve, faster from "we need something that does X" to "here, try this," and increasingly built around frontier AI. You will hire and develop a strong group of engineers and set the technical and operational bar for engagements with lines of business, and build the playbooks that turn one-off wins into repeatable patterns. This is a player-coach role with a strong bias toward leadership. You will stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters, but your primary impact will come from the people you hire, the standards you set, and the culture you create. You will partner with Product, Architecture, and leaders across Pearson's lines of business to shape how the content platform evolves, and your team's field insights will directly influence platform direction. Responsibilities • Set a high bar for technical talent, customer instincts, and AI-first engineering judgment. • Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where strong engineers do the best work of their careers. • Staff and oversee engagements with lines of business across your team's portfolio, making resource allocation decisions that balance stakeholder needs, platform health, team development, and business priorities. • Own delivery across the Prizm, Semantics, Transformation, and Delivery Services roadmaps, keeping the core platform reliable, scaled, and moving. • Work with line-of-business leaders to qualify engagements, scope work, and set expectations before your team commits. Own the relationship through the lifecycle of the engagement, not just the kickoff. • Review technical architectures and code produced by your teams, ensuring they ship high-quality, production-ready solutions that meet enterprise expectations for reliability, observability, security, and cost. • Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex production issues alongside your team when needed. • Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Route field-proven patterns back into the platform teams so wins compound instead of staying one-off. • Set and uphold a high standard for AI-augmented engineering practice. Coach the team on the effective, responsible use of agentic coding tools, and shape how AI fits into how this group designs, ships, and operates software. • Define team OKRs that tie to line-of-business outcomes and platform adoption goals. Create operational cadences (standups, retros, engagement reviews, design reviews, incident reviews) that keep the teams aligned, accountable, and continuously improving. • Partner with Product and Architecture to translate field insights into platform improvements. Serve as the voice of the internal customer in planning. • Represent the platform with senior stakeholders across lines of business at the highest level. You may be a good fit if you have • 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. • 4+ years of people management experience with a track record of hiring, developing, and retaining strong engineers, ideally within a services, post-sales, or forward deployed organization. • Experience building teams or practices from 0 to 1, plus the judgment to do that inside an organization with real systems already in production. • Experience working directly with enterprise stakeholders on technical implementations, including comfort navigating complex organizational dynamics in a large company. • Real production experience building on large language models and generative AI: agents, retrieval, evaluation frameworks, prompt management, guardrails, and the harder operational realities of running AI in production (rate limits, non-determinism, provider outages, schema drift, cost and latency). • A genuine point of view on AI-first engineering. You use agentic coding tools daily, you have opinions on which tools work best for which tasks, and you have shaped team practice around responsible AI adoption. • Enough depth in distributed backend systems and cloud-native architectures (AWS, Azure, or GCP) to credibly review what your teams ship: services, async processing, event-driven pipelines, and content and data systems at scale. • Strong operational instincts around observability, on-call, incident response, security, and the kind of platform discipline that keeps services trustworthy at multi-tenant scale. • Executive presence and the ability to move between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers without losing either audience. • Strong written and verbal communication skills. You can translate technical complexity into clear narratives for different audiences. • Genuine excitement about building something new and defining what great looks like for a practice that doesn't yet exist. Logistics • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. The full-time salary range is between $170,000 - $190,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. Applications will be accepted through 26th July 2026. This window may be extended depending on business needs. Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. 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 emailing TalentExperienceGlobalTeam@grp.pearson.com. Job: Engineering Job Family: TECHNOLOGY Organization: Direct to Consumer Schedule: FULL_TIME Workplace Type: Remote Req ID: 24662 #location

Lead and manage multiple engineering teams to deliver AI-powered content platform solutions at scale. | 10+ years software engineering experience, 4+ years people management, AI-first engineering expertise, and strong leadership skills. | Software Engineering Team Manager (USA) About PSG-CP Pearson is the world's lifelong learning company, and PSG-CP (Pearson Software Group - Content Platform) is the organization powering how that learning gets created, enriched, delivered, and measured. PSG-CP's focus is content. We handle authoring, semantic enrichment, transformation, delivery, assessment, and analytics, serving every Pearson line of business and millions of learners worldwide. We are reshaping the platform around AI in a serious way, and we are looking for a leader who wants to build that with us. About the role PSG-CP is in need of a leader who can help manage our global team of engineeers to help our lines of business receive the content they need to power their applications. The engineering team is embedded directly with our most strategic internal businesses and ship production AI applications against real problems. Running software, not decks or specs. As this practice grows, we need a founding leader to build and scale it. This role leads four teams at the heart of the PSG-CP platform: Prizm, Semantics, Transformation, and Delivery Services. These are the groups that own how content is structured, semantically enriched, transformed, and delivered at global scale. Your job is to lead them forward while changing how they work: closer to the businesses they serve, faster from "we need something that does X" to "here, try this," and increasingly built around frontier AI. You will hire and develop a strong group of engineers and set the technical and operational bar for engagements with lines of business, and build the playbooks that turn one-off wins into repeatable patterns. This is a player-coach role with a strong bias toward leadership. You will stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters, but your primary impact will come from the people you hire, the standards you set, and the culture you create. You will partner with Product, Architecture, and leaders across Pearson's lines of business to shape how the content platform evolves, and your team's field insights will directly influence platform direction. Responsibilities • Set a high bar for technical talent, customer instincts, and AI-first engineering judgment. • Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where strong engineers do the best work of their careers. • Staff and oversee engagements with lines of business across your team's portfolio, making resource allocation decisions that balance stakeholder needs, platform health, team development, and business priorities. • Own delivery across the Prizm, Semantics, Transformation, and Delivery Services roadmaps, keeping the core platform reliable, scaled, and moving. • Work with line-of-business leaders to qualify engagements, scope work, and set expectations before your team commits. Own the relationship through the lifecycle of the engagement, not just the kickoff. • Review technical architectures and code produced by your teams, ensuring they ship high-quality, production-ready solutions that meet enterprise expectations for reliability, observability, security, and cost. • Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex production issues alongside your team when needed. • Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Route field-proven patterns back into the platform teams so wins compound instead of staying one-off. • Set and uphold a high standard for AI-augmented engineering practice. Coach the team on the effective, responsible use of agentic coding tools, and shape how AI fits into how this group designs, ships, and operates software. • Define team OKRs that tie to line-of-business outcomes and platform adoption goals. Create operational cadences (standups, retros, engagement reviews, design reviews, incident reviews) that keep the teams aligned, accountable, and continuously improving. • Partner with Product and Architecture to translate field insights into platform improvements. Serve as the voice of the internal customer in planning. • Represent the platform with senior stakeholders across lines of business at the highest level. You may be a good fit if you have • 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. • 4+ years of people management experience with a track record of hiring, developing, and retaining strong engineers, ideally within a services, post-sales, or forward deployed organization. • Experience building teams or practices from 0 to 1, plus the judgment to do that inside an organization with real systems already in production. • Experience working directly with enterprise stakeholders on technical implementations, including comfort navigating complex organizational dynamics in a large company. • Real production experience building on large language models and generative AI: agents, retrieval, evaluation frameworks, prompt management, guardrails, and the harder operational realities of running AI in production (rate limits, non-determinism, provider outages, schema drift, cost and latency). • A genuine point of view on AI-first engineering. You use agentic coding tools daily, you have opinions on which tools work best for which tasks, and you have shaped team practice around responsible AI adoption. • Enough depth in distributed backend systems and cloud-native architectures (AWS, Azure, or GCP) to credibly review what your teams ship: services, async processing, event-driven pipelines, and content and data systems at scale. • Strong operational instincts around observability, on-call, incident response, security, and the kind of platform discipline that keeps services trustworthy at multi-tenant scale. • Executive presence and the ability to move between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers without losing either audience. • Strong written and verbal communication skills. You can translate technical complexity into clear narratives for different audiences. • Genuine excitement about building something new and defining what great looks like for a practice that doesn't yet exist. Logistics • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. The full-time salary range is between $170,000 - $190,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. Applications will be accepted through 26th July 2026. This window may be extended depending on business needs. Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. 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 emailing TalentExperienceGlobalTeam@grp.pearson.com. Job: Engineering Job Family: TECHNOLOGY Organization: Direct to Consumer Schedule: FULL_TIME Workplace Type: Remote Req ID: 24662 #location

Lead and manage multiple engineering teams to deliver AI-powered content platform solutions at scale. | Requires 10+ years software engineering experience, 4+ years people management, AI-first engineering expertise, and strong leadership in complex enterprise environments. | Software Engineering Team Manager (USA) About PSG-CP Pearson is the world's lifelong learning company, and PSG-CP (Pearson Software Group - Content Platform) is the organization powering how that learning gets created, enriched, delivered, and measured. PSG-CP's focus is content. We handle authoring, semantic enrichment, transformation, delivery, assessment, and analytics, serving every Pearson line of business and millions of learners worldwide. We are reshaping the platform around AI in a serious way, and we are looking for a leader who wants to build that with us. About the role PSG-CP is in need of a leader who can help manage our global team of engineeers to help our lines of business receive the content they need to power their applications. The engineering team is embedded directly with our most strategic internal businesses and ship production AI applications against real problems. Running software, not decks or specs. As this practice grows, we need a founding leader to build and scale it. This role leads four teams at the heart of the PSG-CP platform: Prizm, Semantics, Transformation, and Delivery Services. These are the groups that own how content is structured, semantically enriched, transformed, and delivered at global scale. Your job is to lead them forward while changing how they work: closer to the businesses they serve, faster from "we need something that does X" to "here, try this," and increasingly built around frontier AI. You will hire and develop a strong group of engineers and set the technical and operational bar for engagements with lines of business, and build the playbooks that turn one-off wins into repeatable patterns. This is a player-coach role with a strong bias toward leadership. You will stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters, but your primary impact will come from the people you hire, the standards you set, and the culture you create. You will partner with Product, Architecture, and leaders across Pearson's lines of business to shape how the content platform evolves, and your team's field insights will directly influence platform direction. Responsibilities • Set a high bar for technical talent, customer instincts, and AI-first engineering judgment. • Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where strong engineers do the best work of their careers. • Staff and oversee engagements with lines of business across your team's portfolio, making resource allocation decisions that balance stakeholder needs, platform health, team development, and business priorities. • Own delivery across the Prizm, Semantics, Transformation, and Delivery Services roadmaps, keeping the core platform reliable, scaled, and moving. • Work with line-of-business leaders to qualify engagements, scope work, and set expectations before your team commits. Own the relationship through the lifecycle of the engagement, not just the kickoff. • Review technical architectures and code produced by your teams, ensuring they ship high-quality, production-ready solutions that meet enterprise expectations for reliability, observability, security, and cost. • Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex production issues alongside your team when needed. • Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Route field-proven patterns back into the platform teams so wins compound instead of staying one-off. • Set and uphold a high standard for AI-augmented engineering practice. Coach the team on the effective, responsible use of agentic coding tools, and shape how AI fits into how this group designs, ships, and operates software. • Define team OKRs that tie to line-of-business outcomes and platform adoption goals. Create operational cadences (standups, retros, engagement reviews, design reviews, incident reviews) that keep the teams aligned, accountable, and continuously improving. • Partner with Product and Architecture to translate field insights into platform improvements. Serve as the voice of the internal customer in planning. • Represent the platform with senior stakeholders across lines of business at the highest level. You may be a good fit if you have • 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. • 4+ years of people management experience with a track record of hiring, developing, and retaining strong engineers, ideally within a services, post-sales, or forward deployed organization. • Experience building teams or practices from 0 to 1, plus the judgment to do that inside an organization with real systems already in production. • Experience working directly with enterprise stakeholders on technical implementations, including comfort navigating complex organizational dynamics in a large company. • Real production experience building on large language models and generative AI: agents, retrieval, evaluation frameworks, prompt management, guardrails, and the harder operational realities of running AI in production (rate limits, non-determinism, provider outages, schema drift, cost and latency). • A genuine point of view on AI-first engineering. You use agentic coding tools daily, you have opinions on which tools work best for which tasks, and you have shaped team practice around responsible AI adoption. • Enough depth in distributed backend systems and cloud-native architectures (AWS, Azure, or GCP) to credibly review what your teams ship: services, async processing, event-driven pipelines, and content and data systems at scale. • Strong operational instincts around observability, on-call, incident response, security, and the kind of platform discipline that keeps services trustworthy at multi-tenant scale. • Executive presence and the ability to move between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers without losing either audience. • Strong written and verbal communication skills. You can translate technical complexity into clear narratives for different audiences. • Genuine excitement about building something new and defining what great looks like for a practice that doesn't yet exist. Logistics • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. The full-time salary range is between $170,000 - $190,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. Applications will be accepted through 26th July 2026. This window may be extended depending on business needs. Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. 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 emailing TalentExperienceGlobalTeam@grp.pearson.com. Job: Engineering Job Family: TECHNOLOGY Organization: Direct to Consumer Schedule: FULL_TIME Workplace Type: Remote Req ID: 24662 #location

Lead and manage multiple engineering teams to deliver AI-powered content platform services at scale. | 10+ years software engineering experience, 4+ years people management, AI-first engineering expertise, and strong leadership in complex enterprise environments. | Software Engineering Team Manager (USA) About PSG-CP Pearson is the world's lifelong learning company, and PSG-CP (Pearson Software Group - Content Platform) is the organization powering how that learning gets created, enriched, delivered, and measured. PSG-CP's focus is content. We handle authoring, semantic enrichment, transformation, delivery, assessment, and analytics, serving every Pearson line of business and millions of learners worldwide. We are reshaping the platform around AI in a serious way, and we are looking for a leader who wants to build that with us. About the role PSG-CP is in need of a leader who can help manage our global team of engineeers to help our lines of business receive the content they need to power their applications. The engineering team is embedded directly with our most strategic internal businesses and ship production AI applications against real problems. Running software, not decks or specs. As this practice grows, we need a founding leader to build and scale it. This role leads four teams at the heart of the PSG-CP platform: Prizm, Semantics, Transformation, and Delivery Services. These are the groups that own how content is structured, semantically enriched, transformed, and delivered at global scale. Your job is to lead them forward while changing how they work: closer to the businesses they serve, faster from "we need something that does X" to "here, try this," and increasingly built around frontier AI. You will hire and develop a strong group of engineers and set the technical and operational bar for engagements with lines of business, and build the playbooks that turn one-off wins into repeatable patterns. This is a player-coach role with a strong bias toward leadership. You will stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters, but your primary impact will come from the people you hire, the standards you set, and the culture you create. You will partner with Product, Architecture, and leaders across Pearson's lines of business to shape how the content platform evolves, and your team's field insights will directly influence platform direction. Responsibilities • Set a high bar for technical talent, customer instincts, and AI-first engineering judgment. • Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where strong engineers do the best work of their careers. • Staff and oversee engagements with lines of business across your team's portfolio, making resource allocation decisions that balance stakeholder needs, platform health, team development, and business priorities. • Own delivery across the Prizm, Semantics, Transformation, and Delivery Services roadmaps, keeping the core platform reliable, scaled, and moving. • Work with line-of-business leaders to qualify engagements, scope work, and set expectations before your team commits. Own the relationship through the lifecycle of the engagement, not just the kickoff. • Review technical architectures and code produced by your teams, ensuring they ship high-quality, production-ready solutions that meet enterprise expectations for reliability, observability, security, and cost. • Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex production issues alongside your team when needed. • Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Route field-proven patterns back into the platform teams so wins compound instead of staying one-off. • Set and uphold a high standard for AI-augmented engineering practice. Coach the team on the effective, responsible use of agentic coding tools, and shape how AI fits into how this group designs, ships, and operates software. • Define team OKRs that tie to line-of-business outcomes and platform adoption goals. Create operational cadences (standups, retros, engagement reviews, design reviews, incident reviews) that keep the teams aligned, accountable, and continuously improving. • Partner with Product and Architecture to translate field insights into platform improvements. Serve as the voice of the internal customer in planning. • Represent the platform with senior stakeholders across lines of business at the highest level. You may be a good fit if you have • 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. • 4+ years of people management experience with a track record of hiring, developing, and retaining strong engineers, ideally within a services, post-sales, or forward deployed organization. • Experience building teams or practices from 0 to 1, plus the judgment to do that inside an organization with real systems already in production. • Experience working directly with enterprise stakeholders on technical implementations, including comfort navigating complex organizational dynamics in a large company. • Real production experience building on large language models and generative AI: agents, retrieval, evaluation frameworks, prompt management, guardrails, and the harder operational realities of running AI in production (rate limits, non-determinism, provider outages, schema drift, cost and latency). • A genuine point of view on AI-first engineering. You use agentic coding tools daily, you have opinions on which tools work best for which tasks, and you have shaped team practice around responsible AI adoption. • Enough depth in distributed backend systems and cloud-native architectures (AWS, Azure, or GCP) to credibly review what your teams ship: services, async processing, event-driven pipelines, and content and data systems at scale. • Strong operational instincts around observability, on-call, incident response, security, and the kind of platform discipline that keeps services trustworthy at multi-tenant scale. • Executive presence and the ability to move between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers without losing either audience. • Strong written and verbal communication skills. You can translate technical complexity into clear narratives for different audiences. • Genuine excitement about building something new and defining what great looks like for a practice that doesn't yet exist. Logistics • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. The full-time salary range is between $170,000 - $190,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. Applications will be accepted through 26th July 2026. This window may be extended depending on business needs. Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. 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 emailing TalentExperienceGlobalTeam@grp.pearson.com. Job: Engineering Job Family: TECHNOLOGY Organization: Direct to Consumer Schedule: FULL_TIME Workplace Type: Remote Req ID: 24662 #location

Design and implement AI workflows and orchestration pipelines using LangGraph and LangChain, collaborating with teams to build scalable AI services. | 6-8 years experience with Python and AI/LLM application development, including RAG pipelines, prompt engineering, and distributed systems. | Senior Software Engineer – AI/Agentic Systems Pearson Learning Studio (PLS) – REIA Squad | Hoboken, NJ Pearson Learning Studio is seeking a Senior Software Engineer to join the Re-imagining Assessments (REIA) squad within the PLS team to help design and build next-generation AI-powered learning experiences using Agentic AI frameworks and LLM-based architectures. This role is focused on developing intelligent, scalable AI systems with strong emphasis on Agentic workflows, LangGraph-based orchestration, state management, prompt engineering, and Retrieval-Augmented Generation (RAG). The ideal candidate will have deep experience building AI-driven applications using Python and modern AI orchestration frameworks.   Key Responsibilities:   AI & Agentic System Development * Design and implement Agentic AI workflows using frameworks such as LangGraph and LangChain. * Develop and manage multi-step AI orchestration pipelines with robust state management. * Integrate and optimize Large Language Models (LLMs) for intelligent learning experiences. * Design and implement RAG pipelines using embeddings and vector databases. * Create, evaluate, and optimize prompts to improve response quality, reasoning, and reliability. * Build scalable AI services and APIs using Python.   Platform & Engineering * Develop production-grade backend services and AI integration layers. * Contribute to scalable system architecture, observability, and performance optimization. * Collaborate with engineering and product teams to translate business requirements into AI-driven solutions. * Troubleshoot and resolve production issues with ownership and urgency.   Agile Collaboration & Technical Leadership * Participate actively in Agile/Scrum ceremonies and technical planning sessions. * Contribute to architecture reviews, technical design discussions, and engineering best practices. * Mentor junior engineers and support team-wide technical growth.   Required Qualifications * 6–8 years of software engineering experience. * Strong hands-on experience with Python development. * Experience building AI/LLM-powered applications in production environments. * Hands-on experience with LangGraph, LangChain, or similar AI orchestration frameworks. * Strong understanding of Agentic AI concepts, workflow orchestration, and state management. * Experience implementing RAG pipelines, embeddings, and vector databases. * Strong prompt engineering skills and understanding of LLM behavior optimization. * Experience building scalable APIs and distributed systems. * Strong analytical, debugging, and problem-solving skills. * Excellent collaboration and communication skills. * Bachelor’s degree in Computer Science, Engineering, or related field.   Preferred Qualifications * Experience with OpenAI, Anthropic, or other enterprise LLM platforms. * Familiarity with AI observability, evaluation frameworks, and guardrails. * Exposure to AWS, Azure, or GCP cloud platforms. * Experience in EdTech or content-driven platforms. * Experience working within Agile product delivery teams.   Applications will be accepted through September 11. 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 position is between $130,000 - $150,000 Annually. This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Provide technical leadership and drive design and implementation of scalable software solutions for a remote proctoring platform. | Bachelor's degree in Computer Science or Engineering, 8+ years software development, 3+ years technical leadership, expertise in cloud-native and distributed systems. | Summary  As a Software Development Lead on the OnVUE team, you will provide technical leadership for one or more product development squads supporting Pearson VUE's flagship remote proctoring platform. You will be responsible for leading the design and implementation of scalable software solutions, mentoring engineers, driving technical excellence, and ensuring successful delivery of strategic initiatives.  In addition to being a strong individual contributor, you will provide day-to-day technical leadership, facilitate architectural discussions, conduct design and code reviews, establish engineering standards, and guide the team's adoption of modern development practices. You will partner closely with Product Managers, Business Analysts, Product Architects, Quality Engineering, and DevOps teams to deliver secure, reliable, and highly scalable solutions. This role requires strong expertise in both front-end and back-end development, cloud-native architectures, and modern software engineering practices.  The Product  OnVUE is Pearson VUE's remote proctoring platform, enabling candidates to take high-stakes exams securely from anywhere in the world. The platform provides real-time video monitoring, advanced security capabilities, and interactive proctoring experiences to support millions of test takers globally. The product remains a strategic investment area for Pearson VUE and continues to grow in scale, functionality, and complexity.    Key Responsibilities  Technical Leadership  * Lead and mentor software engineers across one or more development squads.  * Provide technical direction and coaching to team members.  * Establish and promote engineering best practices.  * Drive code quality, maintainability, security, and performance standards.  * Lead technical design sessions and architectural discussions.  * Collaborate with Product Architects to ensure alignment with platform strategy.  Software Development  * Design, develop, and deliver enterprise-scale software solutions.  * Develop new features and technical enhancements across the OnVUE platform.  * Create scalable and maintainable system designs.  * Participate in complex troubleshooting and root-cause analysis.  * Conduct design reviews, code reviews, and technical assessments.  * Support release planning and deployment activities.  Cross-Functional Collaboration  * Partner with Product Managers and Business Analysts to refine requirements.  * Work closely with Quality Engineering to improve quality and automation.  * Coordinate with DevOps and Infrastructure teams on cloud-native solutions.  * Contribute to roadmap planning and technical estimation activities.  * Support platform modernization and technical debt reduction initiatives.    * Desired Knowledge, Skills, and Abilities  * * Demonstrated technical leadership with a strong focus on engineering quality and continuous improvement.  * * Strong software design and system architecture skills.  * * Experience with cloud-based DevOps workflows and CI/CD environments.  * * Experience building highly available and scalable enterprise applications.  * * Strong communication and stakeholder management skills.  * * Experience mentoring developers and building high-performing engineering teams.  * * Familiarity with large language models (LLMs) and machine learning concepts is preferred.  * * Experience with AI-assisted development tools such as Cursor, Claude, GitHub Copilot, or comparable platforms is preferred.  * * Experience with application security, observability, and performance engineering is preferred.  * * Experience supporting accessibility compliance initiatives and WCAG standards is preferred.  Required Education and Experience  * Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.  * 8+ years of professional software development experience.  * 3+ years of technical leadership or lead developer experience.  * Strong experience designing and implementing distributed systems.  * Experience leading Agile engineering teams.  * Experience working within cloud-native environments.  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 is between $120,000 - $135,000.  This position is eligible to participate in an annual incentive program, and information on benefits offered is here [https://nam02.safelinks.protection.outlook.com/?url=https://pearsonbenefitsus.com/&data=04|01|tasha.scott@pearson.com|2c256513c79f4679be7c08d9e7287ebb|8cc434d797d047d3b5c514fe0e33e34b|0|0|637794983376381246|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000&sdata=t1YQPUL7BgoclUd7yE2i86QAirLf4z3z8OEWgr42q7c=&reserved=0].  Applications will be accepted through 24th August. This window may be extended depending on business needs.  #LI-EB1

Design, implement, and maintain unit-tested software while contributing to CI pipelines and collaborating in an Agile team for data ingestion automation. | At least 3 years experience, bachelor's or master's degree in CS or related, proficiency in Java, Python, cloud platforms, and Linux. | Description   We are looking for a highly motivated and self-driven software developer to join our Data Ingestion Automation team. A new member of the team will have the opportunity to work with some of the largest education datasets in the world gathered through Pearson’s online learning products. The core mission of the Data Ingestion Automation team is to enable and automate the ingestion of data to improve Pearson products, learning content, and learner experience. The position provides the opportunity to engage in cutting-edge development and to make a substantial contribution to learning and instruction. This position will have the opportunity to pioneer the adoption of AI to enable more rapid data capture utilizing both AWS and GCP hyperscalers. We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to always improve.   By pushing the boundaries of technology and pushing each other to surpass them, we create an environment that leads not only the education industry but creates seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.   Responsibilities: * Designs and implements new, unit tested software.  * Maintains and enhances existing software. * Actively participates in customer, requirements, architecture, and design meetings. * Enjoys a healthy technical debate but knows how to collaboratively solve problems that move everyone forward. * Uses logical analysis, theoretical deduction, and sound reasoning to troubleshoot challenging technical and business problems. * Contributes to the continuous integration pipeline deploying into both AWS and GCP environments utilizing Terraform.  * Works efficiently and collaboratively in an Agile (Scrum or Kanban) team environment. * Follows DevOps practices: owning software application(s) and code from development through deployment. * Works with Big Data technologies (Kinesis, SQS, BigQuery) that deal with large-scale distributed data processing.     Qualifications: * Detail-oriented, self-directed, and self-motivated with a strong capacity for working successfully and flexibly with members across the organization. * Willingness and ability to quickly learn complex information systems. * Stays current on industry trends and formulates an opinion on the pros and cons of each. * Experienced with software performance, observability, scalability, maintainability, reusability and security. * A good foundation in computer science with strong competencies in basic data structures, JVM concurrency, thread safety, and OO design for solving day-to-day problems. * Ability to independently learn and actively seek new skills and knowledge to advance the development capabilities of the organization. * Ability to effectively use AI-assisted tools to accelerate day-to-day development, automation, troubleshooting, and data engineering activities while maintaining accuracy, quality, and responsible usage standards. * Ability to communicate technical concepts to non-technical people, and work with a variety of internal and external development groups. * Willingness to pivot technologies, solutions, and projects as the mission dictates.    Education and/or Experience * Bachelor’s or Master’s degree in Computer Science / MIS or equivalent experience * Minimum three (3) years of experience in software engineering and design   Required * A “can-do” attitude * Willingness to learn new technologies * Experience with Java and Python * Experience with REST-based web services * Experience with Maven or similar build tool * Experience with unit testing and mock frameworks * AWS and/or GCP experience * Practice with Git or similar source control system * Strong foundation in Linux   Preferred (Nice to have) * AWS Cloud experience in Kinesis, Aurora, SQS, EC2, ECS, and/or Lambda * GCP Cloud experience in BigQuery, Airflow, GKS, Cloud Run * Database Design experience (SQL or NoSQL) * Experience with high volume systems * Understanding of best practices in security (SSL, TLS, SSH, Public Key Encryption, etc.) * Understanding of TCP/IP based computer networking * Spring Boot * Spring GraphQL   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 $80,000 - $90,000.  This position is eligible to participate in an annual incentive program, and information on benefits offered is here [https://nam02.safelinks.protection.outlook.com/?url=https://pearsonbenefitsus.com/&data=04|01|tasha.scott@pearson.com|2c256513c79f4679be7c08d9e7287ebb|8cc434d797d047d3b5c514fe0e33e34b|0|0|637794983376381246|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000&sdata=t1YQPUL7BgoclUd7yE2i86QAirLf4z3z8OEWgr42q7c=&reserved=0].  Applications will be accepted through 24th August. This window may be extended depending on business needs.  #LI-EB1

Develop and maintain web platform initiatives including front and back-end development and collaborate with cross-functional teams. | Bachelor's degree with 4+ years in object-oriented web application development, proficiency in JavaScript frameworks, Azure, and API building. | The Software Developer is a part of the Web Marketing Team and is responsible and accountable to successfully deliver web platform initiatives that support our public-facing school websites. The Software Developer is excited to solve problems in new ways and think in terms of scalability, efficiency, and usability, with exceptional customer experiences in mind. In this role, you will be part of a team responsible for the development, evolution, and implementation of our virtual online learning platform. This role will contribute toward the day-to-day management of the development team’s work, including web content management system maintenance and production support, front and back-end development, mobile first optimization, and site performance monitoring and optimization. Primary Responsibilities:   * Work with subject matter experts and other stakeholders to meet front-end development and technology/ application needs to support current and future website roadmaps. * Continuously improve page speed and performance. * Collaborate with UX and technology partners in the organization to translate UI/UX wireframes and designs into actual code using HTML, CSS, and JavaScript to achieve a final Web product. * Track project issues and establish acceptance criteria to ensure that the team understands when work is complete; verify that the acceptance criteria has been met. * Partner with Software Development QA team to ensure rigorous QA is performed prior to release. * Provide product demonstrations. * Perform light scrum master duties as needed in support of the overall team. * Familiar with asynchronous development practices. * Experience working in the Microsoft Cloud stack, particularly Azure technologies. * Experience using JavaScript frameworks, knowledge of Angular or React preferred. * Experience working in source control, such as Git and Azure Dev Ops (ADO). * Ability to independently solve technical problems in a virtual work environment, collaborate when necessary, and proactively ask for help. * Experience with analyzing business needs and requirements, collaborating with a development team on technical solutions, and writing technical specifications and/or requirements. * Experience writing technical documentation and troubleshooting guidance, specifically to allow internal staff to support delivered solutions. * Experience working on an Agile team. * Ability to work well with others, particularly cross-functional team members and customers, such as UI/UX, Quality Assurance, Product Owners, etc. * Ability to demonstrate aptitude and experience by providing examples, samples, and source code.  Requirements:   * Minimum of a Bachelor’s degree required – preferably in Computer Science or related field. * Minimum 4 years of experience in a high-tech environment developing object-oriented Web applications. * Experience building APIs (Application Program Interfaces) * Experience working in the Microsoft Cloud stack, particularly Azure technologies. * Familiar with asynchronous development practices. * Proficient with Atlassian products including Jira and Confluence. * Understanding of the website development lifecycle and methodologies * Experience managing and administering web content management systems. AEM experience is a plus * Proficiency and hands-on experience in Javascript (Angular JS or similar framework), HTML/CSS * Strong attention to detail and a proven commitment to excellence and quality control * Well organized, detail-oriented, and process-driven with a positive and proactive attitude * An understanding of marketing & sales funnels, customer journeys & positioning * Strong organizational skills with the ability to manage multiple projects and requests. * Excited to work in a collaborative team environment and cross-functionally. * Ability to work in a fast-paced, changing & highly virtual work environment.   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 $90,000 - $120,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here [https://pearsonbenefitsus.com/].    Who We Are   At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson [https://www.pearson.com/en-us/explore-pearson.html].    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 emailing TalentExperienceGlobalTeam@grp.pearson.com.   Applications will be accepted through 18th August 2026. This window may be extended depending on business needs. #LI-EB1