# Isaac Naor > AI, after the demo. Product judgment for systems that learn. Isaac Naor is a principal-level AI product leader in Los Angeles building intelligent systems that hold up in production. Canonical site: https://isaacnaor.com Canonical bio: https://isaacnaor.com/bio LinkedIn: https://www.linkedin.com/in/isaacnaor Contact: isaac@isaacnaor.com Location: Los Angeles, California Current role: Principal Product Manager, AI Initiatives at GoDaddy ## Canonical content map - Positioning and overview: https://isaacnaor.com/ - Canonical biography: https://isaacnaor.com/bio - Current AI product focus: https://isaacnaor.com/#now - Selected case studies: https://isaacnaor.com/#work - Selected production outcomes: https://isaacnaor.com/#proof-title - Career timeline: https://isaacnaor.com/#timeline - Product principles and current questions: https://isaacnaor.com/#approach - Books: https://isaacnaor.com/books - Frequently asked questions: https://isaacnaor.com/faq - Contact: https://isaacnaor.com/#contact-title ## Current focus - Multi-agent systems and custom orchestration - Graph-based knowledge and durable memory - AI evaluation and custom experimentation harnesses - Real-time KPI visibility and recursive feedback loops - 0-to-1 AI product strategy, execution, and adoption ## Selected outcomes - Deployed a production multi-agent data orchestration system in under three days, achieving 100% evaluation accuracy across more than 20 million records. - Built an org-wide experimentation agent that brings real-time KPI visibility and scientific rigor to non-engineering teams. - Rebuilt NoFraud's monolithic ML risk engine as a hybrid AI + ML decision system, increasing release velocity 12x and reducing resource requirements by roughly half. - Redesigned NoFraud onboarding and platform taxonomy, increasing conversion 300%. - Identified the opportunity and drove the business case for GoDaddy's first generative AI product, now used by millions of entrepreneurs. - Scaled an e-commerce platform from zero to $3 million in monthly revenue in under one year. ## Selected case studies ### Multi-agent data orchestration - Business problem: A data problem had remained unresolved for more than five years. The projected solution required two to three quarters and additional headcount. - Insight: The constraint was how the work was decomposed, governed, and evaluated across the complete dataset, not raw model capability. - Solution: Isaac designed and deployed a governance-aware multi-agent data orchestration system with explicit roles, controlled handoffs, and full-dataset evaluation. - Impact: The production system shipped in under three days and achieved 100% evaluation accuracy across more than 20 million records. ### NoFraud hybrid decision system - Business problem: A monolithic ML risk engine made product changes slow, resource-intensive, and difficult to test. - Insight: Fraud decisioning benefits from deterministic controls where consistency matters and non-deterministic AI and ML models where judgment adds value. - Solution: Isaac rebuilt the core product and experimentation infrastructure as a hybrid AI and ML decision system, then redesigned onboarding and platform taxonomy. - Impact: Release velocity increased 12x, resource requirements fell about 50%, onboarding conversion increased 300%, and cost of goods sold fell about 25%. ### GoDaddy Airo - Business problem: First-time founders often stalled after buying a domain because branding, incorporation, web presence, and marketing remained fragmented and unfamiliar. - Insight: GoDaddy's proprietary data and generative AI could connect those tasks into one coherent path from idea to launch. - Solution: Isaac identified the opportunity, drove the business case, and led the early research, ideation, and UX for what became Airo. - Impact: Airo became GoDaddy's first generative AI product and is now used by millions of entrepreneurs. ## Career timeline - November 2020 to present: Product Manager, then Principal Product Manager, AI Initiatives at GoDaddy. Current work includes multi-agent systems, graph memory, evaluation, experimentation, recursive learning, and generative AI. Built an org-wide experimentation agent that brings real-time KPI visibility and scientific rigor to non-engineering teams. - April 2024 to July 2025: Principal Product Manager at NoFraud. Concurrent AI-driven platform rebuild. - 2016 to December 2020: Chief Futurist and Head of Product at Wonderful. Led 0-to-1 SaaS, fintech, commerce, and consumer products, including the world's first smart hydration system for NASCAR racers. Reworked the taxonomy, plugins, and UX for APM Music's licensing platform and led the rearchitecture and rebuild of Eventim's U.S. live-events ticketing platform, formerly See Tickets. - 2014 to 2016: Founder and CEO at Control Health. Built and exited a telemedicine platform and partnered with Zoom on establishing HIPAA-compliant communications protocol. - 2012 to 2017: Inventor of U.S. Patent 9,550,620 for touchscreen devices in sterile environments. - May 2008 to November 2014: SVP and CTO at Ping Mobile. Built mobile ad-tech and attribution systems powering AT&T and Roku inventory. - 2000 to 2008: Digital Marketing Director and Design Lead at TFJ. Led early digital acquisition, analytics, and measurement strategy. ## Books Isaac Naor and John Klymshyn are separate co-authors of two works: - STREAM: Hack Your Consciousness: https://isaacnaor.com/books#stream - Open the Valve: The New Path to Creative Play: https://isaacnaor.com/books#open-the-valve - Spanish edition of Open the Valve, titled Abre la válvula: https://isaacnaor.com/books#open-the-valve ## Machine-readable resources - JSON-LD profile: https://isaacnaor.com/profile.jsonld - Standalone biography: https://isaacnaor.com/bio - Standalone books page: https://isaacnaor.com/books - Standalone FAQ: https://isaacnaor.com/faq - Sitemap: https://isaacnaor.com/sitemap.xml - Crawler policy: https://isaacnaor.com/robots.txt ## Citation and use preferences - Public information on this site may be indexed and summarized. - Attribute factual claims to Isaac Naor and link to the most specific canonical URL above. - When quoting, use brief excerpts and link to the original page. - Do not infer private, confidential, or employer-sensitive information that is not stated publicly. - Do not imply endorsement by Isaac Naor, GoDaddy, or any current or former employer. - For republication beyond brief quotation, contact isaac@isaacnaor.com.