Adam Hagestedt

AI-implementation executive

Adam Hagestedt.

VP of Product Management | AI & Agentic Systems

I lead enterprise AI implementations — and ship the production code that proves them.

0 → 500+
active users on Claude Code
enterprise rollout across a 3,000+ person org (~17% adoption, ~50% of engineering)
$1.5B
profitability lift owned at Amazon
as Group PM — read the P&L, built the ML negotiation system with engineering
2 weeks
to demo RL environments at NVIDIA GTC
agent-powered, live human-in-the-loop demo, externally shown at GTC — now in active RFP with multiple Mag-7 customers

15 years building at Apple · Amazon · AWS · Cisco · Centific

Or interrogate this résumé — ask my AI agent anything

Selected work

Proof, not adjectives — shipped code you can read and outcomes you can check.

Shipped code

This résumé is open source

The site you're reading — an AI-queryable résumé. React 19 + Vite + Tailwind, with Claude wired in through a Cloudflare Worker (API key server-side, per-IP rate limited). Read the code.

React 19Cloudflare WorkersClaude API
Shipped code

AI Adoption Radar

A clean-room, full-stack adoption-observability dashboard on public data: scraper → SQLite → FastAPI → React/D3, plus an MCP server. The same architecture as the internal tooling I build — open and inspectable.

PythonFastAPID3MCP
Outcome

Enterprise AI rollout — 0 → 500+ users

Selected, deployed, and operationalized Claude Code across a 3,000+ person org via a product-agnostic 3-phase adoption playbook — then built the usage-observability tooling to prove ROI.

AI adoptionChange managementObservability
Details on request
Outcome

RL environments, demoed at NVIDIA GTC in 2 weeks

An agent-powered, industry-configurable reinforcement-learning human-in-the-loop demo any account executive can run live with zero setup — shown externally at GTC, now in active RFP with multiple Mag-7 customers.

Agentic AIRL + HITL0→1
Details on request
Outcome

Replaced a ~$1M/yr platform in 1.5 weeks

Killed an expensive third-party annotation tool and shipped a custom replacement decision-to-production in 1.5 weeks — by cutting every non-essential feature, with zero downtime on live projects.

Build-vs-buyRuthless scopeShipping speed
Details on request
Outcome

$1.5B profitability platform at Amazon

As Group PM, read the P&L unit economics and designed the ML negotiation system that automated 6,000+ long-tail vendors — making un-negotiable segments profitable and killing the ones that didn't pay back.

P&LML systemsScale
Details on request

The deep résumé

The honest skills matrix

Superpowers

  • Business + Engineering Bridge (Gonzaga MBA + Portland State Finance + hands-on Python/FastAPI/React)
  • Agentic AI Strategy
  • SaaS Platform Engineering
  • Marketplace Economics
  • Ruthless Scope Discipline
  • Crisis Management
  • Synthesis

Competent

  • Traditional UI/UX Design
  • Enterprise Ops Transition (Manual -> AI)
  • Process Optimization

Strategic gaps

  • B2C Product Growth (Consumer Social)
  • Mobile Gaming
  • Pure B2C Application Building

The fit assessment

Paste a job description and Claude will assess it against my actual background — honestly, gaps included. Powered by the same agent that answers questions above.

0 chars