AI-Native GTM Ops Consulting for B2B Tech Startups
Your product works.
Your revenue engine
is still duct tape.
AI is restructuring GTM from the ground up — collapsing silos, automating execution, and compressing the time between signal and closed revenue. I help B2B tech founders and GTM leaders build the operating system for this era: capability-driven, AI-amplified, and built to scale.
Enterprise-caliber GTM Ops leadership — designed for the AI era, not around it.
The GTM operating model
just changed permanently
Three moments where solid GTM ops separates the companies that scale from the ones that stall.
Build for AI-Native GTM
Departmental boundaries in GTM were never a design choice — they were a human limitation. AI doesn't share that constraint. Before you bolt AI tools onto a broken foundation, build the infrastructure that makes them work.
Fundraising Readiness
Board scrutiny is sharper than ever. You need high-fidelity GTM metrics, clean pipeline analytics, and a revenue story that your data can actually back up — not a deck built on hope.
Interim GTM Leadership
Your new CRO needs an AI-fluent Ops right-hand on day one. I step in immediately — knowing which tools to build, buy, or skip — while you spend 4–6 months finding the perfect full-time hire.
Results that speak
for themselves
Enterprise-caliber GTM Ops leadership — at startup speed.
Building your complete
GTM operating system
Five interconnected pillars — architected together so they compound, and built to work with the AI tools that matter.
- Lead-to-Renewal workflow
- AI-ready full lifecycle data orchestration
- AI-driven deal governance & forecasting
- Forecast framework & cadence
- Territory & quota design
- Account tiering
- Sales comp design
- Commission ops
- AI-driven CRM/XRM enhancement
- AI-driven CRM hygiene & enrichment
- AI-informed tool consolidation & build-vs-buy
- AI-driven lead & account scoring
- AI-driven churn & expansion signals
- Board-ready reporting
- Capacity modeling
- Annual operating plan
- OKR cadence
- Cross-functional sync
0→1 Builder.
Enterprise rigor.
One operator.
I'm Ashley Zhang, a UC Berkeley Industrial Engineer and Economist, who spent 13+ years inside some of the most demanding B2B tech environments in the world before founding GoToOps Consulting.
I built the 0→1 GTM foundation at Apollo GraphQL that took the company from early traction to scale. Before that, I owned $100M+ P&Ls at SanDisk and managed $100M+ annual operating plans at Nutanix — bringing enterprise-grade rigor to every layer of the revenue machine.
Today, I work at the intersection of GTM strategy and AI-native execution. I know which tools to build versus buy, how to wire Clay into your enrichment layer, when a $600/mo Claude-based scoring model beats a $150K platform, and how to restructure your GTM org around capabilities — not department names — so the whole system compounds instead of siloing.
Two ways to work together
Both options give you direct access to me — an operator who's thought deeply about AI GTM, not a generalist with a playbook.
Custom Project Engagement
2–6 month SOW. I assess, design, and execute a specific challenge — from AI scoring model builds to lifecycle automation overhauls — with clear deliverables and milestones.
Fractional Partner Retainer
Ongoing monthly engagement. I embed as your Head of GTM Ops — living in your stack, your Slack, and your weekly cadences. I bring the AI-native operating model to your team without the enterprise price tag or 6-month recruiting cycle.
Ready to build
your AI-native
revenue engine?
Get in touch
Whether you're pre-scale, heading into a fundraise, or trying to figure out which AI GTM tools are worth the investment — I'd love to hear what you're building.
"Ashley doesn't give you a deck; she gives you an engine."
AI-native GTM Ops leadership — built for the model that's actually winning in 2026.
Let's Connect →