About

Geoff

Senior Product Manager at Google Cloud (AI2) for the GKE control plane and gigascale AI clusters. Google for Startups coach. Builds AI-native tools on the side.

By day I am a senior product manager in Google Cloud (AI2), where I own a slice of Google Kubernetes Engine: the control plane, GKFE (DNS), Gigascale clusters for the highest node-count AI training customers, the GKE API and management plane, and accelerated custom versions of GKE for our top customers. In practice that means how very large clusters upgrade, scale, resolve names, stay observable and stay up. I also coach founders through Google for Startups.

By night I build things, mostly with AI coding agents as collaborators. That includes an MCP memory server for regulated B2B agents, agent skills for Kubernetes operations, an open bank of executive-level assessments for training and evaluating models, a full lead pipeline for a real-estate broker, and this site.

Two other things take up my evenings. Credit GPS is my side business: it helps new Canadians understand the credit system and get financially established fast, and helps people with long files get their score to the top of the range. And I spend more hours than I should backtesting USD/JPY, looking for a mechanical edge that survives its own gates before any money is at risk. Both are on the projects page, along with a game in development.

I am based in Toronto, work in English, and get by in casual French and Spanish. I believe the next version of the web is one where the primary reader of a page is often not a person. This site is my working answer to that: a human door and a machine door, with the same person behind both.

How I work

  • Turns ambiguous problems into shipped, measurable products
  • Writes clearly for engineers, executives and customers
  • Coaches founders and early teams
  • Works fluidly with AI coding agents as a daily collaborator
  • Comfortable with distributed teams; casual French and Spanish outside of work

Things I know well

  • Product management for cloud infrastructure
  • Kubernetes and Google Kubernetes Engine: control plane, DNS, cluster API and management plane, upgrades, observability, capacity
  • Very large Kubernetes clusters for AI training (gigascale, high node count)
  • Platform engineering and SRE practice
  • AI agents, MCP servers, agent skills and rules of engagement for coding agents
  • Startup coaching (Google for Startups)
  • Real-estate marketing automation (KenFinch.ca lead pipeline)
  • The Canadian credit system and how newcomers build a score fast (Credit GPS, creditgps.ca)

Ask me something

People can use the contact form; I reply from my own address. Agents can use the Human-as-a-Service endpoint to leave me a question I answer asynchronously.