Jeff Beaumont — AI-Native GTM Operations Leader

AI-Native GTM Operations Leader

I build the operations that let GTM teams win at scale.

AI-native systems. RevOps. CS Ops. I diagnose before I prescribe, build before I advise, and leave behind something the team can run without me.

What I Do

For leaders whose revenue teams are outrunning their operating infrastructure, I build the systems that catch them up. That means the renewal operations function the company never had. The headcount and ratio models the CFO can actually stress-test. The value streams mapped end-to-end so invisible wait time stops masquerading as a people problem. And the AI layer wired into the right workflows so teams make faster decisions with better information, not more dashboards to check.

I’ve built CS Ops infrastructure at GitLab — 130%+ NRR, 250-person org — and applied the same diagnostic methodology to finance operations on a hospital ship in West Africa. The domain changes. The thinking doesn’t.

What Changes When I’m in the Room

Operations that fail usually weren’t designed from a clear diagnosis. The question I start with is always the same: what are we actually solving for? Get that wrong and every well-executed process leads somewhere it shouldn’t.

I diagnose before I prescribe. I map before I build. And I build systems that outlast me: documented, measurable, and handed off to teams who know why they work.

Strategy without operations is a slide deck. Operations without strategy is just motion.

How I Think About Customer Health

At GitLab I built PROVE — a weighted health scoring model that became the company’s single source of truth for 250 CSMs and Sales. The insight behind it: most health scores weight everything equally and therefore measure nothing precisely. PROVE assigns weight by predictive value for retention.

PROVE Framework — Health Score Weights

Product (P)
50%
Risk (R)
25%
Outcomes (O)
10%
Voice (V)
5%
Engagement (E)
10%

Weights validated against churn data · Sold-out session, Gainsight Pulse 2023 · Published in the GitLab handbook

Track Record

GitLab  ·  2019–2023

Sr. Director, CS Operations

  • Built PROVE health scoring — weighted model embedded as company SSOT across 250 CSMs and Sales; Gainsight Pulse 2023 sold-out session
  • Built digital CS programs from zero: 18–20% license lift across the SMB segment
  • Identified 80%+ of previously unknown churn risk through product telemetry; named DRI for cross-functional e-group initiative spanning Data, R&D, CS, Sales, and Field Ops
  • Built the renewal operations function from scratch: SMB segmentation, loss codes, ASM/CSM shared accountability model; platform adoption 22% → 32%
  • Deployed Gainsight as the CS system of record for 250 CSMs — 8-month build, globally distributed team

RightCapital  ·  2018–2019

Director of Customer Success

  • Built the CS department from zero
  • 5% year-over-year gross retention improvement · 60% customer engagement increase · 50% delinquent churn reduction
  • First formal feedback loop in company history (NPS/CES strategy)
  • Built cancellation policy, churn intervention playbook, and dunning management system

Riskalyze  ·  2013–2018

Support, CS, and Education Leadership

  • Built the support function from zero when the company had fewer than 10 people: 0 → 15-person team
  • Built the CS motion as the product matured: 0 → 13-person CSM team
  • Built Riskalyze Academy — cross-functional education program, presented externally at the Fearless Investor conference
  • Surpassed 2018-Q1 gross and net retention goals

Currently serving · 2024–2026

Mercy Ships · West Africa

Finance Director, M/V Global Mercy

A deliberate two-year pause to serve a mission I believe in — and a proof point that the methodology travels. I fixed finance operations first, then ran out of finance problems, and expanded scope to the hospital’s operational systems. Same diagnosis-first approach. Same build-to-hand-off standard. Different domain every time.

65–80%
Reduction in crew stipend processing time — 8–12 hrs per cycle down to 2–4
5 days → 1
Monthly insurance invoicing, redesigned and automated
30 hrs
Manual data entry eliminated per field service — 1,800 patient records, automated
Weeks → Hours
AI-enabled economic impact study — first of its kind for the Global Mercy

AI in Practice

These are production systems I’ve built and run. Most were designed while managing finance operations on a ship in West Africa with limited connectivity and zero IT support.

Mercy Ships · 2026

Economic Impact Study

AI compressed what would have been weeks of manual analysis into hours. First study of its kind for the Global Mercy — quantifying positive economic impact upon society.

Live · Since March 2026

NanoClaw

Self-hosted AI agent on a Raspberry Pi 4. Always-on via Slack — responds to messages, runs scheduled tasks, and delivers competitive intelligence before you ask.

Live · April 2026

Project Synapse

Paste a URL — article, video, or podcast — and AI extracts structured insights: SCR summary, action items, and scenarios. Pushes to a Notion knowledge hub automatically.

Live · Since April 2026

Container Tracker

Tracks shipping containers simultaneously — location, vessel, ETA, status — on a shared dashboard. Built for the Mercy Ships logistics team.

Operational · Weekly

Automated CoS Review

Friday review that pulls Todoist, Notion, and Apple Notes simultaneously. Produces execution review, leadership email draft, and thread triage — in under 60 minutes.

I’m finishing a two-year tenure as Finance Director aboard the M/V Global Mercy in West Africa and relocating to Auburn, California in summer 2026. I’m looking for a full-time leadership role in GTM Operations, CS Ops, or RevOps at a company ready to build something real.