Adam McCoy
Senior Technical Product Manager @Amazon
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WORK HISTORY
Senior Technical Product Manager @Amazon
Denver, CO, US
Leads a horizontal AI platform initiative spanning all major Amazon Devices product lines — owns middleware, data governance, and regulatory compliance across the portfolio.Designed a production multi-agent AI platform on Kiro spanning 6 specialized agent roles with explicit decision authority weights, replacing ad-hoc product workflows with a Slack-native orchestration and routing layer.Architected a 7-category safety and guardrails framework with 5 action classes and 6 graduated autonomy modes — defined what agents can draft, propose, send, or commit, with kill-switch taxonomy for high-risk content.Integrated 3 Model Context Protocol (MCP) servers across Slack, Outlook, and Calendar with surface-specific agent behavior and per-integration allowlists rather than a single generic policy.Formalized an AI governance model spanning 21 decision areas across 4 axes (Why/What/How/When) and 6 roles — replaced ad-hoc arbitration with explicit authority weights between human and agent decision-makers.Launched a cloud-native data governance platform adopted by 1,200 engineering teams managing data schemas — eliminated 33% of redundant integration code through unified standards and natural language query.Delivered Amazon\'s first multi-jurisdictional regulatory compliance architecture across 2 markets (EU and UK Fire TV) — translating Age Verification Act and Digital Markets Act requirements into platform policy controls.
EDUCATION
University of New Hampshire
Master of Business Administration - MBA, Business Intelligence
University of New Hampshire
Bachelor of Science - BS, Accounting and Computer Science
ABOUT ADAM MCCOY
I build and lead AI platform organizations that ship production agentic AI at enterprise scale.The work is specific: designing the multi-agent architectures, safety controls, evaluation frameworks, and autonomy tiers that let teams delegate real decisions to AI agents without losing accountability. I care about the part most AI PM work skips — governance, guardrails, and the measurement systems that gate autonomy by reliability rather than proclamation. An agent without those controls is a demo; an agent with them is a product.What I\'ve led:At Amazon, I lead a horizontal AI platform initiative across Amazon\'s consumer device portfolio. I designed a production multi-agent AI platform on Kiro spanning six specialized agent roles, now adopted by 15 PMs and measurably saving 5 hours per user per week. Alongside it: a seven-category safety framework, a graduated confidence model that structurally binds agent recommendation strength to decision scope, an evaluation framework gating autonomy by measured trust scores, live Model Context Protocol (MCP) integrations across Slack, Outlook, and Calendar, an AI governance model spanning 21 decision areas, and Amazon\'s first multi-jurisdictional regulatory compliance architecture.Before Amazon, I led PM teams of five and six through two of the most significant platform transformations of their era — promoted two PMs to Principal. At Walmart I owned a $110B store-fulfilled delivery business, grew it by $30B, and shipped Ask GIF, an early conversational AI platform for daily associate users. At T-Mobile I led the digital-first prepaid transformation — grew $145M in revenue and cut customer acquisition cost by 86% across a 30M-customer business.I also served as Chief of Staff to T-Mobile\'s Chief Consumer Officer, where I built and presented the $1B Future Retail business case directly to C-suite — the resulting program defined T-Mobile\'s retail strategy for five years.How I work:I operate at the intersection of AI architecture, product strategy, and executive leadership. Equally credible in deep technical conversations, in product reviews with my team, and in executive forums presenting capital investment cases. Hands-on with the AI; strategic on the business; invested in the people.
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