Hi, I'm Nate Cook

I'm an AI PM who loves to build and solve real problems for users. Currently building out AI agents and applications at Audible for internal adoption.

What drives me is building AI teams and working at the frontier of AI deployment at scale for enterprise businesses: taking agents from impressive demos to governed, measured systems that people rely on every day. I find the highest-impact problem, ship fast, and let adoption do the talking.

Nate Cook

What I've Shipped

Audible Experience Archive

Zero-to-One Product / Agentic Platform • 2025 - Present

Product teams were spending 30+ hours/week manually screenshotting flows to see what the site looked like for different users. I identified the problem through 3 months of cross-org intake, then shipped an internal "Wayback Machine" that captures every Audible experience across 12 marketplaces and exposes it through natural language via an MCP server. Organic adoption across 8+ teams (legal, QA, growth, marketing, product, engineering) with zero top-down mandate.

0-to-1 Agentic Platform MCP Server 8+ Teams Adopted

Enterprise AI Governance Framework

Product Strategy / AI Safety • 2025 - Present

Defined the product roadmap for safe deployment of AI agents across the enterprise. Built certification criteria, security review workflows, and evaluation gates. Created the team's most robust security agent: enforces hard checkpoints on every tool and dependency, routes users to appropriate InfoSec review paths based on usage thresholds, and includes telemetry for monitoring compliance.

AI Governance Eval Framework Security Enterprise Adoption

Test Account System

Developer Experience / Internal Product • 2025 - Present

Saw that creating test accounts across 13 marketplaces with specific entitlements was a major friction point for every team. Built a natural-language CLI and Chrome extension that reduced account creation from 15 minutes to 30 seconds. Adoption exploded organically because it removed friction from workflows people were already doing.

Natural Language CLI 13 Marketplaces Chrome Extension Organic Adoption

Experimentation Infrastructure

Growth Product / A/B Testing at Scale • 2021 - 2025

Defined and executed the roadmap for Audible's experimentation platform across 6 global marketplaces. Web channel delivered 30%+ incremental signups through targeted A/B testing. Led AI-powered personalization strategy using customer segmentation (trial, premium, lapsed, winback) powering experiences across all surfaces.

A/B Testing at Scale 30%+ Signups 6 Marketplaces Personalization

Internal AI Skills Marketplace

Platform Product / AI Adoption • 2025 - Present

Launched an enterprise-wide skills library for AI agents, giving non-technical users self-service access to agentic capabilities. Defined the product model: how skills are discovered, evaluated, certified, and deployed. Drove adoption through dogfooding and making the tools genuinely delightful to use.

Platform Product AI Adoption Self-Service Enterprise Scale

Global Content Marketing Platform

Platform Migration / P&L Ownership • 2021 - 2025

Drove product vision for Audible's global content platform across 6 marketplaces and 5 product teams. Led migration from legacy systems to a unified headless architecture with self-service extensibility. Owned full P&L including a $1.5M+ vendor partnership with build-vs-buy accountability.

6 Marketplaces $1.5M P&L Platform Migration 5 Product Teams

What I'm Building

Travel Card Guide

Personal Build / React • 2026

A guide to travel credit cards that compares welcome offers and annual benefits, includes a personal credit-use calculator, and explains how to find award flights with Seats.aero. Built in React 19 and TypeScript with Radix and shadcn components and Tailwind, compiled by Vite into a static page. All card data lives in one JSON file, so updating an offer is a data change, not a code change. GitHub Actions deploys it to S3 and CloudFront using short-lived OIDC credentials instead of stored AWS keys.

React TypeScript Vite S3 + CloudFront

Ruffi

Personal Build / Agentic App • 2026

An award-travel engine that finds flights bookable with points, ranks them against your actual points wallet, and alerts you when a meaningfully better option appears. One TypeScript service is the source of truth, exposed as both an HTTP API with an OpenAPI spec and an MCP server, so other agents use the same tools as the web app. Requests in plain English are parsed by deterministic code first and refined by a local Ollama model, and every model output is validated in code before it touches dates, seats, cabins, or points math. Availability comes from Seats.aero, with optional preference-aware ranking from TypeSafe Jev. Runs locally today; hosting is next.

Next.js TypeScript MCP Server Local LLM

Welvia

Venture / Agentic Commerce • 2026

Helps small businesses become usable by their customers' AI agents, not just findable. Instead of another SEO play, Welvia gives agents a clear action contract, an OpenAPI spec plus llms.txt, to read approved business facts, answer questions, and submit a complete, customer-approved request (like a catering order) that staff then confirm. Built on AWS with Lambda, API Gateway, DynamoDB, and CloudFront, with invitation-scoped access, duplicate-safe receipts, and an evaluation service that scores how well agents complete real tasks. In private pilot.

Agentic Commerce OpenAPI AWS Serverless Agent Evals

Work Experience

Product - AI Accelerator
Audible (Amazon)
Oct 2025 - Present
Handpicked for 6-person team by the Chief Product Officer. Own product vision for enterprise GenAI platform: agent infrastructure, governance, developer APIs, and adoption across 8+ teams.
Product & Platform Lead, Global Marketing
Audible (Amazon)
Apr 2021 - Oct 2025
Product and platform strategy across 6 global marketplaces. Full P&L ownership. A/B testing at scale driving 30%+ incremental signups. VP and C-level stakeholder alignment.
Senior Engineer & Technical Lead
Audible (Amazon)
Jul 2015 - Apr 2021
Full-stack platform serving millions of users across 12 marketplaces. Grew organic acquisition by 35K+ incremental listeners through SEO infrastructure. Built real-time promotional systems informing pricing strategy.
Engineering Manager & Front-End Engineer
Liferay, Inc.
Nov 2011 - Jul 2015
Led engineering team building an enterprise portal platform used by Fortune 500 companies.

How I Work

Listen first. I spend the first weeks doing intake, not building. The hardest question in AI right now isn't how to build something, it's choosing what to build. I find the problem with the widest blast radius and the clearest user pain.

Ship fast, measure everything. I prototype rapidly and let real usage data drive decisions. At Audible, that meant A/B testing at scale across 6 marketplaces. On the AI team, that means dogfooding every tool before anyone else sees it.

Make adoption the product. The best tools sell themselves. I design for zero friction: natural language interfaces, self-service, no training required. If people don't use it voluntarily, the product isn't good enough.

This site is agent-contributable

Have an AI coding agent? It can propose changes to this site. Fork the repo, read AGENTS.md for the full design system and contribution rules, make your edit, and open a PR. Every change is reviewed and merged manually.

View Repo Read AGENTS.md llms.txt