18 open positions available
Lead design and evolution of Kubernetes-based machine learning platform and collaborate with AI scientists to transition prototypes into production. | Bachelor's or Master's degree with strong experience in distributed systems, Python development, cloud-native AWS applications, Kubernetes, and machine learning lifecycle management. | Senior Machine Learning Platform Engineer About Pearson As the world's learning company, Pearson helps people make more of their lives through learning. We use our knowledge, passion, and reach to tackle some of the biggest challenges in education and inspire a love of learning that lasts a lifetime. Together, we transform education and provide meaningful opportunities for millions of learners worldwide. The Automated Assessment team develops machine learning-based software systems that evaluate tens of millions of learner responses each year. Our technology combines large-scale distributed systems, cloud computing, natural language processing, and machine learning to deliver fast, reliable scoring that supports educators, students, and parents around the world. As advances in AI continue to reshape education, our team is building the next generation of machine learning infrastructure that powers both traditional scoring models and emerging generative AI capabilities. The Opportunity We are looking for a Senior Machine Learning Platform Engineer to lead the evolution of our cloud-native machine learning platform. This role is responsible for designing and developing the infrastructure that enables data scientists and machine learning engineers to efficiently build, train, deploy, and operate production machine learning models at scale. You will help define the future of our AI platform, including distributed model training, GPU-based workloads, large language model hosting, and the tooling that enables research to become reliable production systems. This position offers the opportunity to influence architectural direction while working closely with software engineers, AI scientists, and product teams on technology that directly impacts millions of learners. Responsibilities As a Senior Machine Learning Platform Engineer, you will: * Lead the design and evolution of Pearson's Kubernetes-based machine learning platform supporting large-scale model training and deployment. * Design, implement, and optimize distributed machine learning workflows using MetaFlow and other cloud-native technologies. * Build platform capabilities that enable reproducible experimentation, automated model training, artifact management, and production deployment. * Develop infrastructure supporting GPU-based machine learning workloads for traditional ML models (e.g. transformer-based classifiers), foundational models, and agentic pipelines. * Design and implement backend services and APIs that support machine learning lifecycle management. * Evaluate and integrate open-source technologies that improve developer productivity, platform reliability, scalability, and operational efficiency. * Collaborate closely with AI scientists to transition research prototypes into robust, scalable, production-quality systems. * Improve platform observability, reliability, security, and cloud cost efficiency. * Mentor engineers, contribute to technical strategy, and help establish engineering best practices across the team. Required Qualifications * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent professional experience. * Strong software engineering experience developing complex distributed systems. * Expert-level Python development. * Experience designing and building cloud-native applications on AWS. * Experience developing applications using Kubernetes and container technologies. * Experience designing REST-based APIs and microservice architectures. * Experience working with SQL and NoSQL databases. * Experience with CI/CD pipelines, Git-based development workflows, and automated testing. * Strong problem-solving, communication, and collaboration skills. Preferred Qualifications Experience with one or more of the following: * Machine learning platforms such as MetaFlow, MLflow, Kubeflow, or similar workflow orchestration systems. * Production machine learning systems. * GPU computing and distributed model training. * Large language model deployment or inference infrastructure. * PyTorch, TensorFlow, or similar machine learning frameworks. * Kubernetes operations, scheduling, and workload optimization. * Go development. * Infrastructure as Code technologies. * Performance optimization and cloud cost management. * Building internal developer platforms or engineering productivity tools. What Will Set You Apart * Experience building platforms used by machine learning engineers and data scientists. * Experience deploying and operating production AI or LLM infrastructure. * Experience fine-tuning/deploying/managing foundation models and pipelines. * Experience designing highly scalable cloud-native systems handling large datasets and compute-intensive workloads. * Curiosity about emerging AI technologies and the ability to evaluate them pragmatically. * A passion for building tools that enable others to move faster. Why Join Pearson? You'll help build the platform that powers AI across Pearson's automated assessment ecosystem. Your work will enable machine learning scientists to innovate faster while ensuring our production systems remain scalable, secure, reliable, and cost-effective. This is an opportunity to work on challenging engineering problems at the intersection of distributed systems, cloud infrastructure, machine learning, and generative AI—developing technology that directly improves educational outcomes for learners around the world. 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 $135,000 - $155,000. This position is not bonus eligible, 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 21st September. This window may be extended depending on business needs. #LI-EB1
Design, build, and ship production-grade AI applications owning full stack from discovery to deployment and observability. | 8+ years full-stack engineering with production systems and LLM-backed applications, deep expertise in web technologies and cloud platforms, autonomous navigation of complex organizations. | Pearson's PSG-CP (Pearson Software Group - Content Platform) team is looking for a forward deployed engineer who shows up where the work is happening, listens to a problem that nobody has fully written down yet, and leaves with software that addresses it. Not a deck, not a spec, not a Jira epic - running software. You sit closer to the customer than a typical engineer and closer to the code than a typical solutions architect. The job is to compress the distance between "we need something that does X" and "here, try this." You will embed directly with our most strategic internal lines of business to drive AI adoption and ship working software against real problems. You will operate autonomously, thrive under ambiguity, and represent PSG-CP at the highest level inside the business. This is a significant responsibility — you'll play a key role in how AI shows up across Pearson. What you'd actually be doing * Going where the problem is. You will work directly with the internal stakeholders inside our different lines of business. Through real understanding of their pain points, their workflows, and the architecture of their current technical landscape, you'll design and build systems end to end for them. These are the people who will actually use what you build. You meet them on their ground, in their workflow, with their data. * Conducting real discovery. You're not waiting for a finished brief. You sit with users, watch them work, ask the questions, and translate what you hear into something buildable. The discovery is part of the engineering job, not a step that happens before it. * Building during the conversation. The first version often exists before the meeting ends. People react to working software very differently than they react to wireframes — your job is to give them something to react to as fast as possible. * Working from messy inputs. Spreadsheets, PDFs, screenshots, recorded calls, half-written documents, contradictory emails from two stakeholders. You read all of it and turn it into something coherent. You don't ask people to clean up their inputs before you start. * Shipping production AI applications. Beyond prototypes, you build real applications on top of frontier LLMs, agents, MCP servers, evaluation harnesses, retrieval systems, custom skills — that run in production against real workflows. You know how to evaluate what you've built, not just demo it. * Iterating fast across many engagements. A typical engagement runs through many versions in a short window. Requirements shift every cycle. You don't get attached. You ship the next one. * Owning the full stack. Frontend, backend, data, integrations, deployment, the URL you send the stakeholder, and the observability around it once it's live. There is usually no one else to hand pieces off to. If it isn't done, it's because you haven't done it yet. * Codifying what works. When you find a pattern that ships across engagements — a prompt structure, an evaluation harness, an integration shim, an agent template — you push it back to the platform and engineering teams so the next FDE doesn't rebuild it. You make the rest of us better, not just yourself faster. * Owning the relationship over time. The first prototype is the start, not the deliverable. You stay close to the line of business through the lifecycle of an engagement, identify new opportunities as they surface, and harden what graduates into production. What we're looking for * 8+ years of full-stack engineering experience, with meaningful time spent shipping production systems end to end. Background as a technical founder, FDE, or software engineer with consulting experience is all fair game. * Strong CS fundamentals. Data structures, algorithms, system design. You can whiteboard a service architecture, talk through tradeoffs, and not flinch at a coding interview. * Frontend depth. Modern React, TypeScript, real component architecture, state management you can defend, and the taste to build something that looks finished — not just functional. * Backend depth in order of importance (Node.JS, Java, and Python). API design, data modeling, auth, error handling. Comfortable owning a service from request handler to schema. * Production LLM experience. Advanced prompt engineering, agent development, evaluation frameworks, retrieval, and deployment at scale. You've shipped at least one real LLM-backed application that someone other than you used. * Fluency with AI-assisted development tools and agentic coding. This is not a side note. The work moves at a pace that assumes you're using these tools efficiently, accurately, and rapidly. You should be able to demonstrate a clear process that delivers measurable results. * Data fluency. Databases at a real working level, comfort with Python data tooling. * Cloud and deployment fluency. AWS, GCP, or Azure — enough to put a service on a real URL behind real auth without filing a ticket. CI/CD, containers, observability. * Integration experience. You've built things that talk to systems you didn't write. SSO, OAuth, third-party APIs, internal platforms, legacy databases. * High agency. You navigate ambiguity inside a complex organization without needing someone to clear your path. You make calls and own them. * High cooperation, low ego. Pearson is 30,000+ people. Forward deployed work crosses team lines constantly. * Communication skills that work in both directions. You can sit in a room of executives and engineers, hold both threads at once, and not lose either audience. You can speak to end users about their problem and translate that into something other engineering teams can actually build against. * Currency on what's changing. You stay close to the frontier of LLM capabilities, agent patterns, and AI product stacks. * Education: Bachelor's degree in Computer Science or equivalent combination of education, training, and professional experience
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
Design, build, and maintain services and frontends while leading feature delivery and mentoring engineers. | 7+ years experience with proficiency in Ruby on Rails, React, AWS, PostgreSQL, system design, scalability, and communication. | Senior Software Engineer About the role We're looking for a Senior Full-Stack Software Engineer to join the Enterprise Learning & Skills (ELS) engineering team and help build, scale, and evolve a large-scale, API-driven platform used globally to issue and verify digital credentials. This is a hands-on role for an experienced engineer who will own significant parts of the platform today, help design and build new systems and features, and raise the technical bar for the team. You'll work closely with other senior engineers and technical leads, contribute to architectural decisions, and mentor earlier-career engineers. You'll be expected to write and review code regularly while also thinking ahead about how to reduce complexity and improve the health of the systems you own. As the platform grows, you'll help evolve it by standing up and supporting new services and capabilities, including services delivered in partnership with external vendors. 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 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 $150,000 - $180,000. 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 7th of August. This window may be extended depending on business needs.
Design, develop, and deliver scalable enterprise software solutions with technical leadership and mentoring. | Bachelor's degree and 8+ years software engineering experience with expertise in cloud-native development and microservices. | Senior Software Engineer Location: United States (Remote) The Role The Senior Software Engineer is a senior individual contributor responsible for designing, developing, and delivering high-quality, scalable, secure, and reliable software solutions that support Pearson's Higher Education Digital (HED) products and platforms. This role requires deep technical expertise, strong architectural thinking, and the ability to lead complex technical initiatives across multiple teams and systems. The successful candidate will serve as a technical leader and subject matter expert, influencing engineering direction, driving modernization efforts, mentoring engineers, and collaborating with product, architecture, quality engineering, security, and operations teams. The role also requires a strong focus on operational excellence, cloud-native development, automation, and AI-assisted engineering practices to improve product quality, reliability, and delivery velocity. What You'll Own The following responsibilities represent the general expectations for this role. Additional responsibilities may be assigned based on business needs. Overall Responsibilities Design, develop, test, deploy, and support enterprise-scale software applications and services. Lead complex technical initiatives spanning multiple systems, services, and engineering teams. Ensure software solutions meet the highest standards for quality, security, performance, maintainability, and reliability. Participate in and influence architecture and design discussions, providing technical recommendations and guidance. Drive adoption of modern software engineering practices, including CI/CD, automated testing, DevOps, observability, and cloud-native architectures. Leverage AI-assisted development tools and emerging technologies to improve engineering productivity and solution quality. Collaborate effectively with Product Management, Architecture, Security, Quality Engineering, and Operations teams to deliver business outcomes. Provide technical leadership through code reviews, design reviews, mentoring, and knowledge sharing. Troubleshoot and resolve complex production issues while driving root-cause analysis and preventative improvements. Identify risks, dependencies, and technical challenges and communicate them proactively to stakeholders. Provide realistic estimates and consistently meet delivery commitments. Contribute to platform modernization, cloud migration, scalability, security, and reliability initiatives. Continuously enhance domain expertise and stay current with industry trends, technologies, and best practices. Demonstrate accountability, ownership, professionalism, and alignment with Pearson values and ethical standards. Support operational excellence through participation in incident management and production support activities when required. MANAGERIAL RESPONSIBILITIES This position has no direct people-management responsibilities. However, the role is expected to: Provide technical leadership and mentorship to engineering teams. Influence engineering practices, architectural decisions, and technical direction. Act as a subject matter expert within the organization. Guide less experienced engineers through coaching and technical collaboration. About You To perform this role successfully, an individual must be able to execute the responsibilities listed above effectively. The requirements below are representative of the knowledge, skills, and experience required. EDUCATION AND EXPERIENCE Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline. 8+ years of professional software engineering experience developing and supporting enterprise-scale applications and services. Demonstrated experience leading complex technical initiatives and delivering solutions across multiple teams. Proven experience designing, developing, deploying, and supporting cloud-native applications. Experience working within Agile software development environments. Strong experience collaborating with globally distributed engineering teams. Proven ability to influence technical decisions and drive engineering excellence without direct managerial authority. Experience supporting mission-critical production systems and customer-facing applications. Experience mentoring software engineers and promoting engineering best practices. KNOWLEDGE, SKILLS, AND ABILITIES Required: Strong understanding of Object-Oriented Programming (OOP), software design principles, and architectural patterns. Expert-level proficiency in one or more modern programming languages and frameworks, such as Java, Spring Boot, JavaScript/TypeScript, Node.js, Python. Strong experience with microservices, RESTful APIs, distributed systems, and event-driven architectures. Experience building and operating applications on cloud platforms, preferably AWS. Strong understanding of DevOps principles, CI/CD pipelines, and Infrastructure as Code. Experience with source control systems such as Git and modern development workflows. Experience with automated testing frameworks and quality engineering practices. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Strong analytical, troubleshooting, and problem-solving skills. Excellent verbal and written communication skills. Ability to rapidly learn and adopt emerging technologies and share knowledge across teams. Strong understanding of security, performance optimization, reliability, and observability best practices. Preferred: Experience with AI-assisted software development tools and engineering productivity platforms. Experience with large-scale SaaS or enterprise platforms. Experience with monitoring and observability tools. Experience with cloud cost optimization and performance engineering. Familiarity with digital learning platforms, educational technology, or customer-facing digital products. Experience contributing to architectural roadmaps and technical strategy. 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 $110,000 - $140,000. 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 30th June. This window may be extended depending on business needs.
Lead delivery and governance of statewide English language assessment programs coordinating cross-functional teams. | Requires proven experience delivering complex projects in regulated or educational environments and a project management qualification. | About Pearson At Pearson, we add life to a lifetime of learning so everyone can realise the life they imagine. As the world's lifelong learning company, we help people build skills, make progress and transform their lives. In English Language Learning, our assessments — including PTE Academic, PTE Core and our Versant AI-scored tests — are trusted by governments, universities, employers and US state education agencies to make decisions that shape learners' futures. The role This project manager role underpins Pearson's US State Programs work within the ELL portfolio — specifically, the TELPAS and MOWR statewide English language assessments in Texas and Arizona, both underpinned by Versant automated spoken-scoring services. You'll drive delivery, governance and contractual control across these high-stakes programmes, working with experts in test development, automated scoring, psychometrics and technical development. You’ll also coordinate the managed exit from the AZELLA contract, and - as that work winds down - grow into the wider PTE portfolio and other government recognition initiatives. In summary, it's a delivery-led role, US-focussed, but within a global, matrixed environment, turning complex technical and scoring workflows into clear, manageable, deliverable plans. What you'll do * Lead delivery, governance and operational control across the TELPAS and MOWR statewide assessment programmes — managing contractual milestones, SOW deliverables, scoring-service dependencies, risk, budget and reporting obligations. * Maintain delivery cadence across recurring annual cycles, live administrations, Versant AI engine-training windows and validation reporting. * Own programme and project control: governance, RAID logs, dashboards and KPIs, with clear escalation of risks and issues. * Coordinate across Versant AI Scoring Services, R&D, Test Development, Psychometrics, Engineering, Scoring Operations and Finance, plus external delivery partners. * Coordinate the managed exit from the AZELLA contract — document archiving, lessons-learned and controlled data-deletion — while keeping ongoing programmes on track. * Choose and adapt the right delivery approach (waterfall, Agile or hybrid), run retrospectives and lessons-learned, and support quality initiatives including ISO 9001 and ISO 27001. * Coach colleagues in effective project management tools, disciplines and ways of working. * As the role expands, support delivery across the wider PTE portfolio and contribute to government recognition and bidding activity. What you'll bring * Proven experience delivering complex projects or programmes, ideally in education, assessment or regulated environments. * Comfort managing contractual delivery — SOW milestones, deliverables and reporting obligations — ideally in public-sector or statewide assessment contexts. * A strong grasp of project governance, risk and issue management, and dependency planning. * Confidence operating in global, cross-functional, matrixed teams, working alongside technical and psychometric colleagues. * Fluency across both traditional and Agile / hybrid delivery approaches. * A project management qualification (e.g. PMP/PMI, PRINCE2, M_o_R, Agile, equivalent) is required and we’re also looking for good experience running complex, cross-functional initiatives. Competencies * Project management leadership — owning and delivering complex projects end to end. * Stakeholder management & communication — aligning and influencing senior, technical and external stakeholders with clear, structured messaging. * Analytical thinking & problem-solving — making sense of complex delivery, contractual, psychometric and operational scenarios. * Governance & delivery control — scope, risk and dependency management with an audit-aware mindset. * Adaptability & continuous learning — thriving amid ambiguity, change and transition. * Data & AI awareness — using dashboards, data visualisation and AI-scoring insight to sharpen reporting and delivery. How you'll work Structured, proactive and delivery-focused, comfortable holding control and predictability through ambiguity and transition, and collaborative across functions and geographies. Location & working pattern US – Remote working 40 hours per week, with flexibility to support global (including UK) collaboration. 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 $120,000 to $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 July 29, 2026. This window may be extended depending on business needs.
Design and maintain scalable cloud-native full-stack applications using React, Node.js, and Python while collaborating with cross-functional teams. | Over 5 years of software development experience with proficiency in React, Node.js, Python, AWS, and agile methodologies. | The Role We are seeking a highly motivated Software Engineer to design, build, and maintain scalable, cloud‑native applications that deliver modern, intuitive user experiences. This role is ideal for an engineer who is comfortable working across the full technology stack and enjoys collaborating with cross‑functional teams to solve complex problems. As a Full Stack Engineer, you will develop rich, responsive user interfaces using React while also contributing to backend services built with Node.js and Python. You will work with AWS to deploy, operate, and optimize applications following best practices for security, performance, and reliability. The role involves close collaboration with backend, data, and AI engineers to integrate data‑driven and AI‑enabled capabilities into end‑to‑end solutions. What You'll Own You will participate throughout the software development lifecycle, from design and implementation to testing, deployment, and production support. Success in this role requires strong technical fundamentals, ownership mindset, and the ability to work effectively in agile, collaborative environments. Key Responsibilities * Build and maintain front‑end applications using React and modern JavaScript frameworks * Develop and integrate backend APIs and services using Node.js and Python * Deploy and support applications on AWS using CI/CD pipelines * Collaborate on data integrations and AI‑powered features * Write clean, testable, and well‑documented code Required Qualifications * 5+ years of experience in software development * Strong experience with React, Node.js, Python, and AWS * Working knowledge of backend systems, APIs, and data integration * Familiarity with AI concepts or integrating AI‑enabled services * Experience working in agile, cross‑functional engineering teams This is a hybrid work setup, where the candidate will be required to work up to three days onsite at our Hoboken office. Applications will be accepted through May 25. 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 $100,000 - $115,000
Design and manage agentic-enabled program processes to support autonomy and alignment across teams. | Experience in program management, Agile, process improvement, and strong communication skills. | Job Title: Principal, Program Manager, OCTO Program Office Role Summary: The Principal Program Manager in the Office of the CTO’s (OCTO’s) Program Office plays a central role in driving shared ways of working across a portfolio of initiatives. This position is responsible for designing agentic-enabled processes that enable teams to operate with autonomy while remaining aligned to organizational priorities. The role emphasizes strong, transparent information flows across stakeholders and workstreams to support collaboration, shared understanding, and effective decision-making. Key to success is the ability to develop agentic solutions that enable program managers to drive value and for executives to get delivery insight. Additionally, the Program Manager designs experiences and frameworks that reinforce best practices in software development, Agile ways of working, and project controls, supporting consistency, predictability, and continuous improvement across OCTO’s portfolio. Key Responsibilities: • Design and evolve agentic-enabled solutions that balance autonomy, accountability, and adaptability across programs. • Establish and sustain clear, inclusive information flow frameworks that support timely, accurate, and actionable communication among stakeholders and delivery teams. • Develop, implement, and continuously refine shared processes and frameworks for program delivery, integrating Agile principles and project control practices. • Create and maintain transparent tracking and reporting approaches to support visibility into program progress, risks, dependencies, and outcomes. • Partner with cross-functional teams to gather, analyze, and synthesize data-driven insights that inform decisions and support strategic alignment. • Support operational effectiveness by identifying opportunities to improve efficiency, coherence, and learning across program execution. • Ensure program office activities remain aligned with OCTO’s strategic priorities and broader organizational goals. • Communicate program status, risks, insights, and recommendations in a clear, thoughtful, and accessible manner to senior leaders and stakeholders. • Define, track, and share KPIs and OKRs for programs and teams, supporting measurable progress and shared accountability. Desired Qualifications: • Ability to design and support agentic workflows, reporting and tracking systems, and data-informed practices. • Demonstrated experience in program management within technology-focused or transformation-oriented environments. • Strong experience with process improvement, change enablement, and cross-functional collaboration. • Solid understanding of Agile frameworks, the software development lifecycle, and project control approaches. • Experience defining, managing, and aligning KPIs and OKRs to strategic priorities across teams. • Strong communication, facilitation, and stakeholder engagement skills, with a collaborative leadership approach. Impact: To succeed in this space, the Principal Program Manager must be able to drive agentic solutions while understanding the needs and activities of program owners. This role supports the establishment of shared practices, agentic ways of working, and transparency across OCTO’s programs . By strengthening information flows, embedding Agile and project control principles, and supporting the effective use of KPIs and OKRs, the Program Manager helps enable informed decision-making, organizational learning, and resilience in a dynamic technology environment. Skills: • Agentic Development • Analytical Thinking • Business Acumen • Interpersonal Effectiveness • Communication Skills • Collaborative Problem Solving • Program & Project Management • Stakeholder Partnership • Progress Monitoring & Sensemaking • Stakeholder Engagement • Facilitation & Influencing Skills • Program Governance • Change Enablement • Artificial Intelligence & Data Literacy 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 $135,000 - $165,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. Applications will be accepted through 27th 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: Program Management Job Family: ENTERPRISE Organization: Corporate Strategy & Technology Schedule: FULL_TIME Workplace Type: Hybrid Req ID: 22952 #location
Designs agentic-enabled processes and frameworks to drive shared ways of working and align program delivery with strategic goals. | Experience in program management with agentic workflows, Agile frameworks, software development lifecycles, and KPI/OKR management. | Job Title: Principal, Program Manager, OCTO Program Office Role Summary: The Principal Program Manager in the Office of the CTO’s (OCTO’s) Program Office plays a central role in driving shared ways of working across a portfolio of initiatives. This position is responsible for designing agentic-enabled processes that enable teams to operate with autonomy while remaining aligned to organizational priorities. The role emphasizes strong, transparent information flows across stakeholders and workstreams to support collaboration, shared understanding, and effective decision-making. Key to success is the ability to develop agentic solutions that enable program managers to drive value and for executives to get delivery insight. Additionally, the Program Manager designs experiences and frameworks that reinforce best practices in software development, Agile ways of working, and project controls, supporting consistency, predictability, and continuous improvement across OCTO’s portfolio. Key Responsibilities: * Design and evolve agentic-enabled solutions that balance autonomy, accountability, and adaptability across programs. * Establish and sustain clear, inclusive information flow frameworks that support timely, accurate, and actionable communication among stakeholders and delivery teams. * Develop, implement, and continuously refine shared processes and frameworks for program delivery, integrating Agile principles and project control practices. * Create and maintain transparent tracking and reporting approaches to support visibility into program progress, risks, dependencies, and outcomes. * Partner with cross-functional teams to gather, analyze, and synthesize data-driven insights that inform decisions and support strategic alignment. * Support operational effectiveness by identifying opportunities to improve efficiency, coherence, and learning across program execution. * Ensure program office activities remain aligned with OCTO’s strategic priorities and broader organizational goals. * Communicate program status, risks, insights, and recommendations in a clear, thoughtful, and accessible manner to senior leaders and stakeholders. * Define, track, and share KPIs and OKRs for programs and teams, supporting measurable progress and shared accountability. Desired Qualifications: * Ability to design and support agentic workflows, reporting and tracking systems, and data-informed practices. * Demonstrated experience in program management within technology-focused or transformation-oriented environments. * Strong experience with process improvement, change enablement, and cross-functional collaboration. * Solid understanding of Agile frameworks, the software development lifecycle, and project control approaches. * Experience defining, managing, and aligning KPIs and OKRs to strategic priorities across teams. * Strong communication, facilitation, and stakeholder engagement skills, with a collaborative leadership approach. Impact: To succeed in this space, the Principal Program Manager must be able to drive agentic solutions while understanding the needs and activities of program owners. This role supports the establishment of shared practices, agentic ways of working, and transparency across OCTO’s programs. By strengthening information flows, embedding Agile and project control principles, and supporting the effective use of KPIs and OKRs, the Program Manager helps enable informed decision-making, organizational learning, and resilience in a dynamic technology environment. Skills: * Agentic Development * Analytical Thinking * Business Acumen * Interpersonal Effectiveness * Communication Skills * Collaborative Problem Solving * Program & Project Management * Stakeholder Partnership * Progress Monitoring & Sensemaking * Stakeholder Engagement * Facilitation & Influencing Skills * Program Governance * Change Enablement * Artificial Intelligence & Data Literacy 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 $135,000 - $165,000. 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 27th July 2026. This window may be extended depending on business needs. #LI-EB1
Design and develop scalable full-stack cloud-native applications integrating AI capabilities and maintaining APIs on AWS. | Over 5 years experience with Java, Python, AWS, and front-end technologies including React, JavaScript, and TypeScript. | About The Role We are seeking a skilled and motivated Full-Stack Software Engineer to design, develop, and support scalable, cloud-native applications in a modern enterprise environment. This role is ideal for an engineer who brings strong back-end expertise while maintaining a solid working knowledge of front-end technologies. What You'll Own As a Software Engineer, you will primarily work on end-to-end integrated systems, using Java or Python for back-end development and technologies such as React, JavaScript, TypeScript, CSS, and HTML for front-end development. You will build reliable services and APIs that support high-volume, data-driven applications. You will participate in the design and optimization of data layers using relational and NoSQL databases and deploy applications on AWS, following best practices for security, performance, scalability, and cost efficiency. You will also collaborate with AI and data teams to integrate AI-enabled capabilities into platform services and user workflows. On the front end, you will work with technologies such as React, JavaScript, and TypeScript, collaborating closely with front-end engineers to deliver clean, responsive, and intuitive user interfaces. You will contribute throughout the full software development lifecycle, from design and implementation to testing, deployment, and production support, within an agile, cross-functional team environment. Key Responsibilities * Design and develop backend services using Java and Python * Develop and support front-end applications using standard component libraries * Deploy and operate applications on AWS using CI/CD pipelines * Integrate AI‑powered features and data‑driven services * Collaborate on front‑end development using React and modern web technologies Required Qualifications * 5+ years of experience in software development * Working knowledge of React, JavaScript, and TypeScript * Strong experience with Java, Python, databases, and AWS * Familiarity with data models and database integrations * Experience with cloud‑native development and APIs * Familiarity with AI/ML integrations and data‑centric systems This is a hybrid work setup, where the candidate will be required to work up to three days onsite at our Hoboken office. Applications will be accepted through July 30. 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 $100,000 - $115,000
Lead strategic software development program management for data products and services within the PAICE business, overseeing a global team to define product visions and roadmaps. | Proven complex software program management experience, strong leadership, bachelor's degree in Business or Management, and technical expertise in data management and analytics. | Senior Lead, Product Program Manager Location: US, Remote The lead of program management is a position focused on strategic software development program management with defining the vision, strategy, and roadmap for data products and services for PSG-PAICE authoring products. This role oversees the program management for all software products across the PAICE business, ensuring our empowered product model is consistently identifying, designing, and delivering great user experiences that drive the business. This role involves strategic collaboration xPearson (ALL BUs) with cross-functional teams in go-to-market, customer service, content and operations to ensure strategic alignment and flawless execution all the way to the user. This is a leadership role with a global team of 10+ to start. Key Responsibilities: * Program Management: Lead and manage all software product programs and initiatives, ensuring they are scoped, designed, and delivered * Strategic Planning: Support the development and execution of strategic product roadmaps, initiatives and plans. Work closely with senior leadership to develop and align programs with organizational goals * Roadmap Development: Develop and maintain the product roadmap with product, design and engineering for Higher Education products. * Data Product: Develop, test, train, and deploy the data products to deliver the product experience including ML, Domain graph, and LLM approaches. * Data Excellence: Define, design, and deliver the end-to-end data approach to ensure embedded data traceability, experimentation, and analysis to support the product and user experience * Stakeholder Management: Build and maintain strong relationships with internal and external stakeholders at all levels of seniority, ensuring strategic alignment of outcomes. Notably this is a platform role and will require strong xfunctional relationship development cross sr stakeholders in all Pearson BUs as Authoring is a critical capability for most of Pearson * Operational Improvements: Monitor, identify and implement product and process improvements to enhance operational efficiency and effectiveness of PSG overall Required Skills and Experience: * Program Management: Proven experience in software program management, with a track record of successfully delivering complex software programs and initiatives. * Strategic Thinking: Strong strategic thinking and planning skills, with the ability to align programs with organizational goals. * Leadership: Ability to lead and influence cross-functional teams, driving collaboration and alignment across the organization with high influence management and domain understanding pan Pearson for authoring and content creation * Technical Expertise: Strong understanding of data management, data analytics, and data governance principles. * Analytical Skills: Strong analytical and problem-solving skills, with the ability to use data to inform decisions. * Communication: Excellent communication and presentation skills, with the ability to articulate complex concepts to both technical and non-technical audiences. * Executive Support: Experience providing strategic support to senior leadership, including preparing reports and presentations. * Education: Bachelor's degree in Business, Management, or a related field. Advanced degree preferred. 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 $150,000 - $200,000. 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 31st of July. This window may be extended depending on business needs.
Lead enterprise master data strategy and governance focusing on Customer360 data product. | 10-15 years in data management with expertise in MDM platforms and Customer 360 transformations. | Lead, Data Governance (Master Data Management) OCTO Global Data | Pearson Role Overview Pearson's data organization is in the middle of a genuine transformation and master data is the foundation it's being built on. We're not here to maintain the status quo. We're rethinking how a global education company defines, trusts, and activates its most critical data assets. We're looking for a Lead, Data Governance (Master Data Management) to lead this charge: setting the strategy, defining the architecture, and driving the execution of Pearson's enterprise master data capabilities. You'll start with the Customer domain, working through the legacy complexity while simultaneously building the blueprints for how we govern Product, Supplier, and other critical domains in a fundamentally different way. This is a senior, player-coach role for someone who can hold two things at once: the pragmatism to tackle what's broken today, and the ambition to reinvent how an enterprise thinks about data. You will be shaping Pearson's philosophy around trusted, reusable, governed data and building the systems, products, processes, and culture to make that real. You'll operate as a thought leader to the business, not just a technical function. That means influencing how Pearson's most senior stakeholders understand and value their data, advocating for data as a strategic product, and helping the organization move from treating data as a byproduct of operations to treating it as a first-class asset. This role sits within Global Data, a team of builders in the middle of a meaningful modernization. You'll work at the intersection of data engineering, data products, analytics, and business units across a global organization, with the ability to drive real change. Key Responsibilities MDM Strategy & Architecture * Drive MDM vision and roadmap: Define and execute the enterprise master data strategy across the Customer domain and beyond (product, supplier, employee, finance) with a phased roadmap for domain expansion. Challenge the status quo and question inherited ways of working, bring fresh thinking to how best practices are defined, and push the organization toward modern, scalable approaches that reflect where data management should be going. * Establish best practices: Design and implement MDM architecture standards that serve Pearson's global needs while enabling business units to achieve their goals. * Data governance: Build and operate a data governance framework including stewardship models, data ownership policies, and dispute resolution processes across BUs. * Architecture and Design: Define system-of-record vs. system-of-use vs. system-of-truth across Salesforce, Oracle, E-commerce, and other integrated platforms. Drive data model re-design reducing MDM data bloat and ensuring streamlined field use across all BUs and functions. * Metadata & lineage: Oversee metadata management and data lineage practices to ensure traceability and auditability across the data estate. * Automation: Identify automation opportunities as it relates to master data CRUD or Data quality. Customer360 & Self-Service Analytics * Lead Customer360 data product: Lead the design and build of holistic view of the Pearson customer, a foundational data product that powers self-service analytics across the business. * Innovative data access: Create and champion new approaches to accessing and consuming master data, enabling business users to answer their own questions without reliance on data teams. * Single source of truth: Drive the design and adoption of golden record and deduplication processes, match and merge logic that produces a trusted, unified view of each customer across all Pearson systems. 1. Data Quality & Trusted Data * Data quality ownership: Define and enforce data quality standards across master data domains, profiling, monitoring, cleansing, and continuous improvement. * Golden record & deduplication: Lead the design of match and merge processes to identify, resolve, and prevent duplicate records across source systems. * Data stewardship program: Stand up a data stewardship program that embeds accountability for data quality within business units, not just central IT. Production Support & Legacy Systems * Legacy system stabilization: Partner with engineering and operations teams to drive production support for legacy MDM systems while the organization transitions to modern platforms. * System integration: Ensure master data flows correctly across Oracle, Salesforce, and other enterprise systems, managing integration patterns, data synchronization, and API-based consumption. * ETL/ELT pipelines: Oversee the design and maintenance of data ingestion pipelines that feed master data from source systems into the MDM platform. * Master Data Migrations: Support master data migration programs ensuring data quality, standard processes, and approvals are in place before creating or updating data. 1. 2. Cross-Functional Partnership & Change Management * Stakeholder influence: Act as the primary MDM partner to business units, translating complex data capabilities into business value and influencing across a matrixed organization. * Change management: Drive the cultural and operational change required for MDM transformation, MDM programs succeed or fail based on adoption, not just technology. * Business & technical fluency: Serve as the bridge between technical data teams and business stakeholders, with a deep understanding of both Pearson's data landscape and the commercial needs of its business units. * Program Leadership: Serve as the central MDM lead across all major enterprise programs and ensure alignment of requirements and dependencies across the programs. * Performance Management and Continuous Improvement: Define and track KPIs tied to business outcomes and MDM value realization Qualifications Required * 10–15 years of experience in data management, with significant depth in Master Data Management * Hands-on experience with MDM platforms such as Informatica * Deep knowledge of Oracle and Salesforce as source systems and MDM consumers (SFDC – Data360 and Agentforce) * Proven experience designing match and merge logic, deduplication, and golden record processes * Large Scale Customer Master / Customer 360 transformations * Deep understanding of data governance frameworks, data stewardship, and data ownership models * Experience with ETL/ELT pipelines, API integration patterns, and cloud data platforms * Track record of driving data quality programs at scale in complex enterprise environments * Ability to lead cross-functional initiatives and influence senior stakeholders without direct authority * Experience managing legacy system environments while driving modernization * Strong communication skills - able to translate technical concepts for business audiences and vice versa Nice to Have * Experience with data product thinking and self-service analytics enablement * Familiarity with Customer360 or similar enterprise customer data initiatives * Experience with GCP (Looker) * Experience with metadata management tools and data lineage platforms * Knowledge of real-time and streaming data architectures Benefits at a Glance We know you’ll do great work, so we give a lot back with some of the best benefits in the business. We know one size doesn’t fit all, so our workplace programs meet the different needs of our diverse teams, and their families, too. See our Benefits. [https://pearsonbenefitsglobal.com/] At Pearson, we’re transforming learning. If you’re a Technology leader who thrives in complexity, leads with purpose, and aspires to shape the future—we want to hear from you. Apply today and imagine the impact you can make. 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 $200,000 - $220,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here [https://pearsonbenefitsus.com/]. Applications will be accepted through 13th July 2026. This window may be extended depending on business needs. #LI-EB1
Provide architectural leadership and direction for software development teams, ensuring high-quality implementation and mentoring. | Bachelor's degree with 8+ years in software development including 3+ years in architecture and technical leadership, specifically with Java and relational databases. | As an Architect you will provide leadership and architectural direction for multiple software development teams for the test development product area. The Product Architect takes ownership for all technical matters in their area and will resolve or escalate all team issues. You will also be responsible for creating and implementing a long-term vision, orchestrating high-quality software implementation, and maintaining, guiding, and improving architectural integrity and evolution for their area. Additional expectations include the ability to fosters high team morale, mentor and coach team members, and ensure best practices and architectural guidelines are followed your product area. In doing this, you will be expected to continually contribute to and lead process improvement activities. Team This requisition is part of the Web team, which supports the client registrations and client self-service applications that are essential components of Pearson VUE’s core business. One of the team’s primary responsibilities is supporting a number of web-based registration applications and client self-service portal. The Product Architect will: In this role you will work with both Engineering Leads as well as Product Manager by providing architecture solutions and leadership at the product level. You will do this through overseeing implementation of software that achieves the goals of the architecture in your product area. In this role, there are three major functional areas with an expected breakdown of duties as follows: Architecture & Development * Create, document, implement, and oversee the long-term vision, architecture and initiatives in the assigned area * Estimate software development requirements and effort, propose alternatives, and prioritize development tasks for a given area. * Ensure higher level requirements from project stakeholders are satisfied, complete and testable * Review code and documents for their area to ensure designs and coding are holistic * Assess and oversee the technical delivery of high-quality projects and products * Design, maintain and assess items in their assigned area factoring in performance, maintainability/complexity, market trends, innovation, system robustness, scalability, and longer term quality initiatives * Serve as the point person who is accountable for their assigned area and will capture, summarize, and escalate issues as necessary for resolution and awareness Engineering Leadership & Mentoring * Strategic and tactical responsibility on a daily basis for developing and enhancing the technical architecture and projects of assigned areas and ensuring user needs are met * Coordinate and unify the work of architects and team members through the software implementation process * Assist as necessary with defining roles and assigning responsibilities within team * Liaison for numerous functional areas within organization * Provide technical mentoring to developers, senior developers, and software architects within a domain or project, or as assigned * Proactively design training opportunities within group that align with group goals * Induct new members for assigned projects * Proactively foster collaboration among technical teams where systems integration is required Process & Quality Improvement (and other responsibilities)-10% * Participate in and initiate group improvement activities and initiatives to improve process and product quality in pursuit of excellence * Participate in and monitor effectiveness of requirement, design, code, unit test and QA test case reviews and inspections * Assess and oversee the technical delivery of projects to ensure best practices are followed * Understand, support and improve the OSSP * Report any potential opportunities regarding assigned domain, other domains, or client opportunities Required Experience: * Bachelor’s degree in computer science, MIS or equivalent technology discipline * 8+ years relevant software development experience creating business applications with relational database systems (Experience with Java technologies) * Strong Web with working knowledge of Java, JavaScript * 3+ years’ experience in software architecture * 3+ years technical leadership experience * 1+ years programmatic interaction with relational database systems * Working with offshore teams * IT Architecture experience in large project development, development lifecycles, development methodologies, project scoping, process improvement, and variety of technologies and tools * Ability to provide technical leadership to a team Desired Experience: * Ability to understand philosophy of architecture * Ability to lead and/or coordinate multiple teams or projects concurrently * Ever expanding knowledge in many development languages, applications, and tools * Enterprise knowledge of business and platforms across systems and in our core technology service model * Proven ability to quickly learn new processes and tools, business domains and technical applications * Ability to effectively manage, measure, and continuously improve working performance and quality of teams and individuals * Must assimilate information, distill knowledge, apply experience and provide solution alternatives and recommendations * Must have strong time management and project management skills – including the ability to work well under pressure, plan, set priorities, adapt to change, and meet established timeline * Must develop effective relationships with internal and external contacts and work well within a team * Mentoring and training skills Compensation at Pearson is influenced by factors including skill set, experience, and location. The full-time salary range for this role is $130,000 – $160,000. This position is not bonus eligible. Information on benefits can be found here [https://pearsonbenefitsglobal.com/]. Applications will be accepted through 6th July, 2026. This window may be extended depending on business needs. #LI-P1
Identify and resolve performance bottlenecks across front-end and back-end systems to improve speed and scalability. | 5+ years professional web development with strong performance optimization skills and proficiency in Go, Vue.js, and MongoDB. | Web Application Developer (Performance Optimization) About the Role We are seeking a skilled and detail-oriented Web Application Developer with 5+ years of experience specializing in performance optimization and scalability. This role focuses on improving the speed, efficiency, and reliability of our web applications while contributing to feature development across the stack. You’ll work closely with product, design, and engineering teams to identify bottlenecks, implement improvements, and ensure a seamless user experience. Key Responsibilities * Analyze, identify, and resolve performance bottlenecks across front-end and back-end systems * Optimize application performance, including load times, API response times, and database queries * Develop and maintain scalable web applications using modern frameworks and tools * Collaborate with cross-functional teams to define, design, and ship new features * Write clean, maintainable, and efficient code * Monitor application performance and implement improvements based on metrics and user feedback * Conduct code reviews and contribute to best practices for performance and scalability * Troubleshoot production issues and implement long-term fixes Required Qualifications * 5+ years of professional experience in web application development at large usage scales * Extensive experience with MongoDB and MongoDB Atlas Cloud, including sharding, replication, index design, query plans, and operation profiling * Solid experience with Go (Golang) for backend services * Experience with Vue.js for front-end development * Proven track record of improving application performance and scalability * Strong understanding of RESTful APIs and web architecture * Experience with performance monitoring and debugging tools * Familiarity with version control systems (e.g., Git) Preferred Qualifications * Experience with caching strategies (e.g., Redis, CDN optimization) * Knowledge of containerization tools like Docker * Familiarity with cloud platforms (AWS, GCP, or Azure) * Experience with CI/CD pipelines * Understanding of microservices architecture Key Skills * Performance tuning and optimization * Problem-solving and analytical thinking * Strong communication and collaboration skills * Attention to detail and code quality Applications will be accepted through July 7. 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 $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].
Lead a product analytics team to drive data-informed decisions and improve educational product outcomes through rigorous analysis and experimentation. | 8+ years in product analytics with management experience, strong technical skills in SQL and analytics tools, excellent communication, and a focus on learning outcomes. | Manager, Data Analytics & Business Intelligence - Pearson Higher Education Description: This role aligns to Industry Level Titles such as Product Analytics Manager, or Lead Product Analytics. Location: Hoboken - Hybrid The role At Pearson, we are the world's digital learning company with more than 24,000 employees operating in 70 countries. We lead the education technology industry in design, service, and innovation. We are committed to bringing life to a lifetime of learning and to our talented team who make it all possible. By creating effective, engaging solutions, we provide boundless opportunities for learners at every stage of their journey around the world. We achieve this through cutting-edge technology, uncompromising service, and high-quality products that are engaging and easy to use. You will lead product analytics for Pearson's Higher Education courseware, integrations, and content authoring portfolio - products used by millions of students and tens of thousands of instructors. Your job is not to staff a reporting function. Your job is to make sure every product team in HE is making better decisions because of data: understanding how students and instructors actually use what we build, proving which bets pay off, and surfacing the opportunities our product managers couldn't see on their own. You will manage a small team of product analysts and partner directly with Heads of Product, PMs, designers, engineers, and learning science. You report into the HE product organization, not into a central data function - because analytics here is a product capability, not a service desk. What "good" looks like in this role We expect strong product analytics leaders to drive five uses of data. You will lead your team and your product partners against all five: • Understand actual behavior. Instrument products so we can see what students and instructors do, not what they say. Close the gap between stated needs and revealed behavior. • • Measure business and learning performance. Define and own the KPI trees for HE products - both commercial (activation, retention, revenue per learner) and learning (engagement-to-outcome conversion, time-on-task efficiency, assignment completion, demonstrable mastery gains). At Pearson, a product that drives revenue but not learning outcomes is a failure. Your metrics must reflect both. • • Prove which ideas work. Stand up and scale the experimentation practice across HE - A/B tests, holdouts, live-data prototypes. Coach PMs on test design, sample sizing, and reading results honestly (including the unwelcome ones). Kill bad ideas faster. • • Inform product decisions. Replace opinion-driven debates with evidence. When leadership, PMs, or stakeholders disagree, you produce the analysis that resolves the question - or makes clear the question can't be resolved with the data we have, and what we'd need to collect. • • Inspire new product opportunities. Mine our data - usage, outcomes, support, content interaction, instructor behavior - to surface opportunities no one asked you for. Some of the most valuable product work in this org should be initiated by your team, not handed to it. Responsibilities • Lead the product analytics team. Manage, coach, and grow a team of product analysts. Set the standard for analytical rigor, communication, and product partnership. Make every analyst on your team a stronger product thinker, not just a stronger SQL writer. • Partner with product leadership on strategy. Sit in roadmap and quarterly planning. Bring the data point of view to prioritization. Push back when proposed work has no measurable outcome attached. • Own the HE product KPI framework. Define the small set of metrics that matter - across commercial performance and learning outcomes - and make sure every team can see theirs in near-real time. • Drive instrumentation and telemetry. Work with engineering and data platform teams to define what we measure, where, and how. Treat instrumentation as a first-class product requirement, not an afterthought. • Lead and scale experimentation. Build the muscle, the tooling expectations, and the cultural norms for testing across HE products. • Surface opportunities. Run regular discovery-oriented analyses across the portfolio. Bring forward "we should look at this" insights that change roadmaps. • Communicate to executives. Translate analysis into a narrative HE and Pearson leadership can act on. Less dashboard, more decision. • Govern data quality. Hold the line on definitions, lineage, and trustworthiness. A wrong number that ships to a VP is a tax on every future decision. What we're looking for • 8+ years in product analytics, with at least 2-3 years managing analysts. You've done the work and you've built the people who do the work. • A demonstrable bias toward outcomes over outputs. You can point to product decisions, experiments, or roadmap changes that happened because of analysis you led - and to the resulting learner or business impact. • Fluency in the product operating model. You've worked directly with empowered product teams (or you've helped create them) and you understand the difference between feature teams and product teams. • Strong experimentation chops. You can design a test, size it, read it, and tell a PM when not to run one. • Technical depth: SQL (BigQuery, Snowflake), product analytics tools (Mixpanel or equivalent), Tableau, Python a plus. We expect you to be hands-on - you should still be able to run the analysis yourself, even when you don't have to. • Sharp communication. You can hold your own in a room of senior product and engineering leaders and translate ambiguity into clear questions and clearer answers. • Strongly preferred: experience in education, edtech, or any domain where learning, behavior change, or skill acquisition is the core user outcome. You should care that what we build actually improves learning outcomes. 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 $155,000 - $175,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. Applications will be accepted through July 3rd. This window may be extended depending on business needs.
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