Ryan Collins · AI GTM Engineering for RevOps

Revenue Operations, engineered.

I specialize in 0-to-1 revenue operations for SaaS companies: building the systems a revenue team runs on when nothing is in place yet. Give me a growth target and a messy stack, and I’ll build the path there end to end: the plan, the territories and comp, the CRM, and the AI automation that keeps it running.

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Systems I work in SalesforceHubSpotClariClayApolloXactlyTableauZoomInfon8nZapierGong · ChorusClaudeOpenAISQL · Python
Select works & case studies

Proof, not promises.

Each case opens into a short walkthrough: the situation, what I built, the model behind it, and the result. Client specifics are kept general where needed.

Forecasting

The number everything else hangs on.

Hiring plans, spend and board trust all depend on the forecast. So I don’t build it from rep calls alone.

  1. 01

    Seasonality

    Open pipeline weighted by the historical win rate for that month, not a yearly average.

  2. 02

    Create and close

    Every month, part of won revenue comes from deals that weren’t in the pipeline on day one. I forecast that too.

  3. 03

    Rep judgment

    Commit and best case still matter. I use them to pressure-test the model, not replace it.

HOW I BUILD THE MONTH’S NUMBER Open pipeline × this month’s historical win rate + Create and close deals THE CROSS-CHECK Rep commit Best case = Forecast leadership can plan around Illustrative proportions, not real data.

Clari rolled out company-wide at CloudBees · board forecasts at Suralink · forecast modeling for Safeway’s executive team

What I build

The full revenue engine, end to end.

RevOps works best as one connected system. The forecast depends on the territories, the territories drive the comp plan, and all of it rests on clean CRM data. I build and run the whole chain.

01 · PLAN

Forecasting & planning

Bookings and ARR forecasts leadership can defend, with a weekly cadence behind them.

  • Commit / best case
  • Capacity models
  • Targets & budget
02 · COVER

Territories & account assignment

Balanced books of business, fair carving, and routing rules that put every lead with the right rep fast.

  • Territory modeling
  • Lead & account routing
  • Headcount plans
03 · PAY

Comp planning & commissions

Plans that drive the right behavior, quotas grounded in capacity, and payouts reps trust.

  • Plan design
  • Quota setting
  • Xactly · Spiff
04 · MEASURE

Reporting & dashboards

One version of the numbers, from the rep’s daily view up to the board pack.

  • Pipeline & funnel
  • NRR / GRR
  • Board reporting
05 · SYSTEM

GTM systems & CRM architecture

A data model built for the next stage of growth, including merging instances after an acquisition.

  • Salesforce · HubSpot
  • CPQ & quote-to-cash
  • Data governance
06 · AUTOMATE

AI workflows & automation

Enrichment, routing, research and hygiene handled by AI agents and workflows, so people spend their time on judgment and selling. I connect AI agents to CRM and GTM data through MCP (Model Context Protocol) servers and APIs.

  • Clay · n8n · Zapier
  • Claude · OpenAI
  • APIs & Python
In lockstep withSales leadershipMarketingCustomer Success & renewalsFinanceThe board
How I operate

How I build revenue systems.

Four rules I’ve carried into every revenue team I’ve worked with.

P1

The number has to tie out.

Every dashboard reconciles to the figure finance reports. If Sales and Finance see different numbers, nobody trusts the forecast.

P2

Model before you mandate.

Territory changes, quota moves and comp plans get modeled against real capacity before anyone announces them.

P3

Let AI handle the busywork.

Enrichment, routing and data cleanup should run on their own, so people can focus on judgment and selling.

P4

Build for the next stage.

A system that works at 30 reps and falls over at 75 was never finished. I design for the headcount plan, not just today’s team.

My professional journey

From the P&L to the pipeline.

I spent my first years in FP&A and enterprise finance, then moved into sales operations and RevOps leadership. Today I run VantaOps and build GTM systems full-stack.

Ryan Collins
MBAFinance, California State University, East Bay
BSBusiness, Arizona State University
CertSalesforce Certified Administrator
  1. GTM engineering for revenue operations

    Founder

    VantaOps.ai
    Feb 2025 – now

    I run an AI GTM engineering and RevOps practice that connects fragmented revenue systems into one reliable source of truth, working across Salesforce, HubSpot, Clay, ZoomInfo/Apollo.io and custom API and Python workflows.

    GTM Engineer

    Triple Whale
    Dec 2025 – now

    First GTM engineering hire. I built the automation and integration layer across the go-to-market stack, including AI-assisted routing, enrichment and lifecycle automation.

  2. Revenue operations leadership

    Revenue Operations Lead

    Suralink
    Oct 2022 – Apr 2025

    Owned the full revenue and sales ops function for an ~80-person SaaS company serving audit and accounting firms: forecasting, comp, budgeting, board prep and the HubSpot stack.

    Revenue Operations Manager, North America

    CloudBees
    Aug 2017 – Oct 2022

    Scaled the sales org from 30 to 150 reps through a Series E and two acquisitions. Owned territories, quotas and comp for Channel and the Americas, and led a team of 8.

  3. Sales operations

    Business Intelligence Specialist, Sales Ops

    Google Cloud
    Sep 2015 – Aug 2017

    Territory performance reporting, strategic account plans, and spend, COGS and comp analysis for sales leadership during GCP’s hypergrowth years.

  4. Finance

    Associate Area Finance Manager

    EMC
    Jan 2014 – Sep 2015

    Structured enterprise leasing from quote to close, and was a key contributor to a ~$70M license agreement, EMC’s largest of its kind.

    Senior Financial Analyst · Financial Analyst

    Safeway
    Jun 2011 – Jan 2014

    Selected for the Financial Leadership Program (three analysts a year). Built forecasts and executive reporting for the CEO, CFO and SVPs.

What I’m looking for

The right team.

In case it helps us both save time.

I partner with a small number of SaaS companies at a time, usually as their RevOps and AI GTM engineering lead.

I look for teams where the playbook still needs writing, leadership values finance-grade rigor, and there’s appetite to let AI handle the busywork so people can focus on judgment and selling.

If you want to build something that lasts, let’s talk.

Let’s talk
Contact

Let’s talk.

Tell me where your revenue engine is today and where it needs to be in a year.

Emailrcollins.analysis@outlook.com
LinkedInin/ryanjamescollins
Phone+1 (925) 872-0747
BasedSan Francisco Bay Area
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