AI Product Owner

LearningMate; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

LearningMate is seeking a Forward Deployed AI Product Owner to blend consulting, product leadership, and AI strategy for education customers. You will embed with schools, publishers, and learning organizations to transform workflows into AI-native solutions.

You will lead discovery workshops, define MVPs, write PRDs, and drive AI-first SDLC across discovery, architecture, governance, development, testing, deployment, and optimization.

Qualifications

• 8+ years in Product Management, Product Ownership, or Solution Architecture
• Experience working directly with customers
• Experience in Agile environments
• Experience with AI-enabled products
• Experience within Education, Publishing, Learning Platforms, or EdTech

Responsibilities

• Partner directly with education organizations, publishers, universities, K-12 districts, and learning companies.
• Lead discovery workshops to understand business objectives, pain points, workflows, and data ecosystems.
• Map current-state and future-state processes.
• Translate ambiguous business problems into product opportunities.
• Build trusted relationships with executive stakeholders.
• Own AI products from concept through deployment.
• Define product vision and roadmap.
• Create Product Requirement Documents (PRDs).
• Write detailed user stories and acceptance criteria.
• Lead products through an AI-native SDLC, including discovery, AI-assisted architecture, development, testing, evaluation, deployment, and optimization.

Skills

Executive communication

Workshop facilitation

Process mapping

Requirements gathering

Change management

Job description

Role Summary

A highly strategic and execution-oriented Forward Deployed AI Product Owner works directly with education customers, internal AI engineering teams, and domain experts to transform complex workflows into AI-native products.

This role sits at the intersection of consulting, product management, AI, and customer success. The AI Product Owner will embed with customers, understand their business processes, identify opportunities for AI transformation, define product requirements, and lead delivery through an AI-first SDLC.

This is a client-facing role where you will think like a consultant, act like a product leader, and execute like a startup founder. The ability to make critical decisions to adapt and drive the product forward is key.

What You'll Do

Customer Discovery & Consulting

• Partner directly with education organizations, publishers, universities, K-12 districts, and learning companies.
• Lead discovery workshops to understand business objectives, pain points, workflows, and data ecosystems.
• Map current-state and future-state processes.
• Translate ambiguous business problems into product opportunities.
• Build trusted relationships with executive stakeholders.

AI Product Ownership

Own AI products from concept through deployment.

Responsibilities include:

• Define product vision and roadmap.
• Create Product Requirement Documents (PRDs).
• Write detailed user stories and acceptance criteria.
• Vibe coding to bring ideas to life.
• Manage releases.
• Drive adoption and customer success.

Lead products through an AI-native software development lifecycle, including:

• Discovery
• AI-assisted architecture
• Human review workflows
• Development
• Testing
• Evaluation
• Deployment
• Continuous optimization

You will work closely with AI engineers to ensure products leverage:

• LLMs
• Agentic workflows
• RAG
• Knowledge Graphs
• MCPs
• AI orchestration
• Multi-agent systems

Education Domain Expertise

Understand how learning products are created and consumed.

• Instructional Design
• Assessments
• Accessibility
• Learning standards
• Learning Management Systems
• Content Management Systems
• Learning Objects
• Metadata
• Digital publishing

Experience with publishers or EdTech organizations is highly desirable.

Partner with customers to define AI-ready data foundations.

Responsibilities include:

• Ontology development
• Knowledge repositories
• Data governance
• Semantic search
• AI content repositories

Responsibilities

• Convert business problems into AI solutions
• Create product roadmaps
• Define MVPs
• Identify AI use cases
• Create business process maps
• Define KPIs and success metrics
• Coordinate releases

Required Qualifications

Experience

• 8+ years in Product Management, Product Ownership, or Solution Architecture
• Experience working directly with customers
• Experience in Agile environments
• Experience with AI-enabled products
• Experience within Education, Publishing, Learning Platforms, or EdTech

Consulting Skills

• Executive communication
• Workshop facilitation
• Process mapping
• Requirements gathering
• Change management

Ideal Candidate Profile

The ideal candidate is not just a Product Owner. They are a Forward Deployed AI Product Owner who combines the strengths of a management consultant, product manager, AI strategist, and education domain expert. They thrive in ambiguity, can move seamlessly from an executive workshop to a backlog refinement session, understand both enterprise data architecture and learning ecosystems, and are passionate about building AI-native products that transform how education organizations operate.