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Advanced Specialist, Product Management – ELL Platforms Pearson | English Language Learning | Bengaluru,
India Job Tier: IC25 | Role Type: Individual Contributor |
Reports To: Team Manager, Platform Product (ELL)
About the Role
We are hiring an Advanced Specialist in Product Management to join the Platforms team within Pearson's English Language Learning (ELL) division. In this role, you will take senior individual-contributor ownership of significant product areas within our learning management system (LMS), which serves institutional and corporate customers worldwide.
Working closely with engineering, design, and customer success, you will lead discovery, shape strategy for your product domain, and drive iterative improvements that reduce friction and raise the quality of the learner experience. You will also act as a go-to expert within the team, helping raise the bar on product craft.
This is an individual-contributor role reporting to the Team Manager, Platform Product (ELL). The right candidate brings deep B2B product management experience, a user-first mindset, strong analytical rigour, and the technical fluency to engage as a genuine peer with engineering teams.
What You Will Do
What We Are Looking For
Pearson is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees
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 [Confidential Information].
Job: Product Management
Job Family: PRODUCT
Organization: English Language Learning
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 25009
Job ID: 151051743
Skills:
Cloud Technologies, Agile Methodologies, Enterprise Software, B2B SaaS, CrewAI, orchestration patterns, product analytics tools, model evaluation platforms, tool function calling, vector databases, AI-native product management tools, agent architecture, AutoGen, LangGraph, evaluation and safety guardrails, LLM orchestration frameworks, microservices architecture, LLM-based decision-making tools, multi-step reasoning systems, context management, RAG pipelines, Agentic AI products, autonomous agents
Skills:
lifecycle management , Asset Management, Iot Integration, Sustainability, monetization, product-led growth, B2B platform products, Ai, Business Acumen, maintenance reliability, Compliance, Analytics, executive presence, network-based products, product management, customer adoption, digital twins, Communication Skills
Skills:
User Experience, Software Product Management, Agile Methodologies, Feature Development, Cross-functional Leadership, Product Lifecycle Management, Compliance Security, Market Analysis, performance metrics
Skills:
content management systems , Machine Learning, Saas, Data Analytics, SEO, Digital Experience Platforms, Website Development Practices, Ai, Marketing Automation Tools
Skills:
retail media , Machine Learning, Growth Platforms, Measurement Frameworks, SSPs, DSPs, Ads Performance Marketing, Performance Marketing, Product Management, Audience Activation, Data Platforms, Decisioning Systems, Programmatic Ecosystem, Attribution Models
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