I'm a technical product leader with over a decade of experience architecting AI systems, scaling enterprise platforms, and driving innovation at both startups and Fortune 500 companies. At Amazon, I led cross-functional teams implementing fine-tuned LLMs and predictive analytics that transformed partner operations and payment systems, impacting millions of customers across 20+ countries.
Previously, I built AI-powered content analysis platforms processing millions in creator royalties, and led teams developing automated workflows that reduced manual operations by 85%. My experience spans complex technical domains including machine learning infrastructure, payment systems, and enterprise API platforms.
Currently partnering with technology companies to help product development teams become AI native, focusing on practical integration of machine learning into core workflows and decision-making processes. I guide teams in building and scaling AI-driven products while establishing the right frameworks for responsible development.
Passionate about transforming traditional product teams into AI-first organizations, particularly in developing systems that drive measurable business value while maintaining high standards for security and ethics.
Developed AI-powered interface using fine-tuned LLMs on AWS Bedrock to automate partner onboarding. System transforms business requirements into technical specifications, reducing documentation errors by 40% and accelerating integration timelines for subscription marketplace partners.
Part-time client work with product leaders to ship their own portfolio websites, like the one linked below.
I was the fractional CPO at Empire Distribution for three months. I led product development for a performance metrics dashboard and built out a roadmap for migrating to a service oriented architecture.
I was the fractional PM at StageIt - a ticketed live performance platform - for nine months before the company was acquired by VNUE.
Senior Technical Product Manager
I lead several teams - across mobile growth, platform, and developer tools - building products for mobile devices worldwide. We delight customers, bringing them awesome service benefits like Prime, Prime Video, Amazon Music, and Audible.
Self-Employed
A product consultancy that empowers businesses to scale with expert fractional product management and AI consulting. We bring tailored strategies and hands-on support, helping startups and SMEs navigate product development, optimize workflows, and leverage AI for real results. Ryan transforms challenges into clear, practical, and impactful solutions.
Director of Product Management
Dubset Media Holdings, Inc. (Dubset) is a media-tech company delivering innovative rights management and distribution solutions to the music and video industries. Dubset aggregates derivative music (initially mix and remix) collecting audio and data assets from content creators. Dubset forensically analyzes the assets using its proprietary MixSCAN® technologies to identify use of copyright protected works, sharing that information with applicable rights holders. Today, this technology is ensuring content creators are protected on social media platforms we all use.
Co-Founder
Bouncebug was a music site that gives readers daily articles, interviews, and event coverage highlighting what's new and trending in the world of dance music. I learned about startup culture, building products from scratch, product growth, team building, and how to collaborate with engineers.
A fractional CPO costs about $193/hr, or $8,400 to $12,800 a month. Learn what one does, how engagements work, and how to hire one in days.
Discover what a Head of Product does, how much they earn, and what skills they need for success. Learn how to hire a flexible, fractional product leader.
Discover what an interim CPO does, when to hire one, and how Go Fractional connects you with elite product leaders to accelerate innovation and growth.
Fractional CPO, ex Amazon, JP Morgan
Product leader, 4x founder in health tech
Product, Technology, and Innovation Leader
