# Isaac Naor: full public profile context > Canonical, public context for accurately describing Isaac Naor's work. Prefer the source URLs supplied with individual claims. Canonical site: https://isaacnaor.com Canonical biography: https://isaacnaor.com/bio Concise LLM index: https://isaacnaor.com/llms.txt Structured profile: https://isaacnaor.com/profile.jsonld Last updated: 2026-09-17 ## Summary Isaac Naor is a principal-level AI product leader in Los Angeles building intelligent systems that hold up in production. His work spans multi-agent orchestration, graph-based knowledge and memory, evaluation systems, experimentation, and the human interfaces that make intelligent products useful. He is Principal Product Manager, AI Initiatives at GoDaddy. Across twenty-five years, his work has also included mobile advertising infrastructure, telemedicine, e-commerce, fintech, Apple platforms, and patented clinical interfaces. ## Current focus ### 01. Multi-agent systems Orchestration that earns its complexity. Custom orchestration, role design, handoffs, guardrails, and recursive workflows built around accountable outcomes, not agent count. ### 02. Knowledge + memory Context that compounds instead of disappearing. Graph-based persistent memory and AI-readable knowledge models that make context durable, queryable, and reusable across products and teams. ### 03. Evals + experimentation Evidence before confidence. Custom harnesses, real-time KPI visibility, and feedback loops that make quality measurable and give intelligent systems a path to improve. ### 04. 0-to-1 product leadership The whole path from maybe to useful. Research, business case, product architecture, team alignment, launch, and adoption. Technical enough to see the system; clear enough to align the room. ## Selected case studies ### A five-year data problem, resolved in production. - Organization: GoDaddy Research - Period: 2026 - Result: 20M+ records / under 3 days - Business problem: A data problem had remained unresolved for more than five years. The projected fix required two to three quarters and additional headcount. - Insight: The constraint was not raw model capability. It was how the work was decomposed, governed, and evaluated across the entire dataset. - 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. - Areas: Multi-agent, Data orchestration, Evals, Production AI - Source: [Current LinkedIn profile](https://www.linkedin.com/in/isaacnaor) - Source note: Public description of the five-year problem, production deployment, evaluation result, and projected alternative requiring two to three quarters and additional headcount. ### From monolith to momentum. - Organization: NoFraud - Period: 2024-2025 - Result: 12x release velocity / ~50% fewer resources - Business problem: A monolithic ML risk engine made product changes slow, resource-intensive, and difficult to test after a company restructure. - Insight: Fraud decisioning needs both repeatability and judgment: deterministic controls where consistency matters, and non-deterministic AI + ML models where signals and uncertainty matter. - Solution: Isaac rebuilt the core product and experimentation infrastructure as a hybrid AI + ML decision system, then redesigned onboarding and the platform taxonomy around it. - Impact: Release velocity increased 12x, resource requirements fell about 50%, onboarding conversion increased 300%, and cost of goods sold fell about 25%. - Areas: AI + ML, Decision systems, Experimentation, Fintech - Source: [Current LinkedIn profile](https://www.linkedin.com/in/isaacnaor) - Source note: Public role summary and reported product outcomes. ### From a domain purchase to a business launch. - Organization: GoDaddy - Period: 2022-Present - Result: First generative AI product / used by millions - Business problem: First-time founders were buying domains, then stalling at the harder work: choosing a name, building a brand, incorporating, launching a site, and finding customers. - Insight: The domain purchase was not the destination. GoDaddy's proprietary data and emerging generative AI could connect the steps that followed into one coherent product experience. - 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 to move from an idea to an operating business. - Areas: Generative AI, 0-to-1, Product architecture, GTM - Source: [GoDaddy Airo](https://www.godaddy.com/airo) - Source note: Official product page and current product scope. ## Selected production outcomes - 20M+ production records evaluated: A production multi-agent data orchestration system achieved 100% evaluation accuracy and shipped in under three days. - 12x release velocity: A hybrid AI + ML decision system combined deterministic controls with non-deterministic models, moving NoFraud from monolith to momentum. - $3M monthly revenue, built from zero: An e-commerce platform scaled from zero to $3M per month in under one year. - 300% conversion increase: A clearer onboarding experience and platform taxonomy turned structural product work into measurable growth. ## Career timeline ### Nov 2020-Now: Intelligence became an operating layer. - Role: GoDaddy / Product Manager → Principal PM, AI Initiatives - Era: AI product systems - Record: Joined as Product Manager in 2020 and became Principal Product Manager, AI Initiatives in 2022. Leads AI-native product development across multi-agent orchestration, graph-based memory, evaluation frameworks, and recursive learning. In 2026, a multi-agent system shipped to production in under three days and achieved 100% evaluation accuracy across more than 20 million records. He also built an org-wide experimentation agent that brings real-time KPI visibility and scientific rigor to non-engineering teams. - Areas: Multi-agent, Knowledge graphs, Evals, Generative AI - Source: [Current LinkedIn profile](https://www.linkedin.com/in/isaacnaor) - Source note: Current role, public focus, reported product outcomes, and career chronology. Verified July 2026. ### Apr 2024-Jul 2025: Changing the engine while it was running. - Role: NoFraud / Principal Product Manager (Contract) - Era: Concurrent platform rebuild - Record: Refactored a monolithic ML risk engine into an AI-driven decision system, cut resource requirements by about half, increased release velocity 12x, and redesigned onboarding to improve conversion 300%. - Areas: AI decisions, Risk, Shopify, Platform rebuild ### 2016-Dec 2020: A product studio for consequential bets. - Role: Wonderful / Head of Product (Chief Futurist) - Era: The 0-to-1 years - Record: Led new SaaS, fintech, commerce, and consumer products across partner companies, including GoDaddy. Led product for the world's first smart hydration system for NASCAR racers, shipped iOS products recognized as Editor's Picks, and scaled an e-commerce platform from zero to $3M per month. Reworked the taxonomy, plugins, and UX for APM Music's licensing platform, used by Netflix, Apple, and NBCUniversal, and led the rearchitecture and rebuild of Eventim's U.S. live-events ticketing platform (formerly See Tickets). - Areas: 0-to-1, Fintech, Platform architecture, GoDaddy ### 2014-2016: Care moved beyond the building. - Role: Control Health / Founder + CEO - Era: Telemedicine - Record: Built and exited a telemedicine platform in under two years, connecting patients and providers across messaging, video, billing, and compliance. Partnered with Zoom on establishing HIPAA-compliant communications protocol. - Areas: Telemedicine, Founder, Product analytics ### 2012-2017: Touchscreens entered the sterile field. - Role: Inventor / U.S. Patent 9,550,620 - Era: Connected health interface - Record: Invented devices and dispensers for sterile touchscreen covers, enabling tablets and smartphones to remain usable in clinical environments. Filed in 2012 and issued in 2017. - Areas: Healthcare, Touch interfaces, Patent - Source: [U.S. Patent 9,550,620](https://patents.justia.com/patent/9550620) - Source note: Filed January 31, 2012. Issued January 24, 2017. ### May 2008-Nov 2014: From message to measurable platform. - Role: Ping Mobile / SVP & CTO - Era: Mobile at scale - Record: Built and scaled real-time mobile advertising infrastructure powering AT&T and Roku inventory. Attribution and lift systems delivered roughly 4x conversion gains and 50% re-engagement. - Areas: Mobile, RTB ad-tech, AT&T, Roku - Source: [External record: Cisco author archive](https://blogs.cisco.com/author/isaacnaor) - Source note: Confirms SVP and CTO work spanning mobile platforms and connected health. ### 2000-2008: Performance became measurable. - Role: TFJ / Digital Marketing Director + Design Lead - Era: Digital acquisition - Record: Led early digital acquisition and performance marketing across SEO and paid media, establishing foundational analytics and measurement strategy while digital commerce was still taking shape. - Areas: SEO, Paid media, Analytics, Experience design ## Books Isaac Naor and John Klymshyn are separate co-authors of the works below. ### STREAM: Hack Your Consciousness Co-authored with John Klymshyn. Available as an ebook and unabridged audiobook. - [Amazon](https://www.amazon.com/dp/B07CQHWXTP): English edition. - [Apple Books, audiobook](https://books.apple.com/us/audiobook/stream-hack-your-consciousness-unabridged/id1385965161): English edition. ### Open the Valve: The New Path to Creative Play Co-authored with John Klymshyn. Available in English and Spanish. - [Amazon, English](https://www.amazon.com/dp/B0GGV6KK5Q): English edition. - [Google Play, English](https://play.google.com/store/books/details/John_Klymshyn_Open_The_Valve?id=dPLSEQAAQBAJ&hl=en_US): English edition. - [Amazon, Español](https://www.amazon.com/dp/B0H2N5YTFT): Español edition. ## Frequently asked questions ### What kind of AI product work does Isaac lead? Isaac leads AI-native product strategy and execution across multi-agent orchestration, graph-based memory, knowledge architecture, evaluation systems, experimentation, and the human interfaces that make those systems useful. The focus is reliable behavior in production: durable context, observable handoffs, measurable quality, and clear accountability. ### What has Isaac shipped at scale? Isaac has shipped products across AI, mobile advertising, e-commerce, fintech, telemedicine, and Apple platforms, including GoDaddy's first generative AI product, mobile infrastructure for AT&T and Roku inventory, and products recognized as Apple's Editor's Picks. The through line is 0-to-1 product judgment carried into infrastructure, adoption, and measurable outcomes. ### How does Isaac approach multi-agent product development? Start with the outcome, design explicit roles and handoffs, make memory durable, instrument the system, contain the blast radius mechanically, and evaluate continuously. Autonomy is useful only when the work remains observable and accountable. ### What does Isaac focus on now? Isaac focuses on building reliable AI product systems, helping teams adopt them without unnecessary jargon, and turning emerging capabilities into measurable advantages for customers and organizations. ### What is Isaac Naor's background? Isaac has twenty-five years of experience across ad-tech, telemedicine, commerce, and Apple platforms, and now focuses on AI-native product systems. The platforms change; the pattern holds. ### Where is Isaac Naor based? Los Angeles. ### What books has Isaac Naor co-authored? Two: STREAM and Open the Valve. Open the Valve is also available in Spanish as Abre la válvula. ## Machine-readable resources - [Full profile context](https://isaacnaor.com/llms-full.txt): Detailed work, career, books, FAQs, sources, and citation guidance. - [Profile JSON-LD](https://isaacnaor.com/profile.jsonld): Schema.org graph for Isaac Naor, the site, work, career, outcomes, FAQs, and books. - [Sitemap](https://isaacnaor.com/sitemap.xml): Canonical public and machine-readable URLs. - [Crawler policy](https://isaacnaor.com/robots.txt): Public crawler permissions. ## 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. - Distinguish Isaac Naor and John Klymshyn as separate co-authors. - Use brief excerpts when quoting 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.