Jonathan M.

Skills

Executive Leadership & Strategy

• Product Strategy & Architecture: 25 years of experience bridging big-picture vision with implementation.
• Chief Product Officer (CPO) / Chief Learning Officer (CLO): Executive leadership roles across Mottshire Labs, Learning Objects, and Cengage.
• Product Market Fit & Efficacy Analysis: Expert in aligning technology with market needs and measurable learning outcomes.
• Business Development & ARR Growth: Track record of driving $20M in ARR and facilitating major corporate acquisitions.
• Stakeholder & Partnership Management: Extensive experience managing relationships with Fortune 100 clients like AWS, CapitalOne, and Elsevier.

AI & Advanced Technology

• Agentic AI & LLM Orchestration: Architecting autonomous agents and dual-enclave cognitive infrastructures.
• Serverless Architecture: Specialized in Google Cloud Platform (GCP), Cloud Run, and serverless Python proxies.
• Vector Databases & Identity-as-Code: Building vectorized "Life Ledgers" for high-fidelity digital twins.
• Zero-Trust Security: Implementing atomic secret binding via Google Secret Manager for enterprise-grade AI.
• Recursive Alignment Loops: Designing staging labs for AI reasoning and value alignment.

Learning Science & EdTech

• Competency-Based Education (CBE): Pioneer in CBE LMS architecture and digital credentialing standards.
• Learning Analytics & Data Infrastructure: Architecting AI-ready data strategies to support talent marketplaces.
• Instructional Design & Learning Science: Applying PhD-level cognitive psychology to algorithmic learning paths.
• Adaptive Learning Engines: Leading the strategy for AI-driven products like Elsevier Adaptive Quizzing (EAQ).
• Skill-to-Job Competency Mapping: Developed AI-enabled systems for matching human potential to economic opportunity.

Academic & Research Foundation

• PhD in Political Science: Deep theoretical background in political theory and social science.
• Advanced Statistics: Proficient in Structural Equation Modeling (SEM), Factor Analysis, and Time Series Regression.

Game Theory & Cognitive Psychology: Graduate-level study applied to product design and AI ethics.

About

Executive Summary: AI Architect & Product Strategist

I am an executive product leader and learning architect with over 25 years of experience building systems that structure human potential. I specialize in bridging the gap between high-level enterprise strategy and hands-on AI engineering, moving fluidly from procurement and governance to serverless architecture and LLM orchestration.

Core Expertise

AI & Agentic Infrastructure: Architected "Motokage," a dual-enclave serverless digital twin on Google Cloud, and currently leading AI-powered workforce initiatives for the Navajo Nation.

Proven Scale: Led product strategy for platforms serving over 100,000 users, including the Elsevier Adaptive Quizzing (EAQ) engine and Cengage’s competency-based LMS.

Learning Science & Rigor: PhD-level background in Political Science and advanced statistics, applying cognitive psychology and game theory to design algorithmic learning paths that manage LLM drift and hallucination.

Key Achievements

Strategic Growth: Launched adaptive and competency-based products that generated $20M ARR and directly contributed to the acquisition of Learning Objects by Cengage.

Workforce Transformation: Raised over $2M in grant funding to build AI-enabled competency discovery and job-matching platforms for underserved communities.

Operational Excellence: Reduced onboarding costs and time by 30% at TD Ameritrade by launching a comprehensive, competency-based "Retail University".

I am obsessed with first principles and "Ontology as Code"—the belief that the future of EdTech lies in defining the rigorous data structures that underpin human identity and skill validation.