I build the revenue infrastructure most B2B teams can’t.
I work with B2B companies where post-pipeline leakage is killing revenue math. Four or five engagements a year, boutique by design. You own the system when I walk away.
What I build
Four phases. One operator.
Diagnose, Architect, Build, Activate and Transfer. You can engage on any phase, or all of them. Most clients run the full sequence in 4 to 8 weeks.
What is a GTM Infrastructure Architect?-
Diagnose
A 2-week look at what you actually have. I map signal sources, attribution gaps, tool sprawl, and handoff leakage. Honest read, not a sales audit.
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Architect
The blueprint before the build. Data flows, pipeline topology, tool roles, integration contracts. What's custom, what's bought, what's ripped out.
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Build
I implement the system end-to-end. Clay workbooks, n8n workflows, HubSpot architecture, AI qualification, attribution. In production, not in slides.
Named delivery patterns
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Agent-based GTM infrastructure
Agent stacks for qualification, enrichment, lifecycle, orchestration. A venture-backed AI infrastructure startup cut AI operating cost 95% ($10.5K to $467/mo).
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Open-source-stack GTM infrastructure
n8n, Ollama, Qdrant foundations. Cost-efficient and sovereign. Talked through at Warsaw IT Days 2026; taught in the Udemy GTM Engineering 101 course.
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Activate + Transfer
Team training, documentation, handoff. You own the system and the runbook when I walk away. No agency dependency, no monthly retainer.
The operator behind GTM Wizard.io.
I'm Mathew Joseph. I architect, build, and ship GTM infrastructure for B2B SaaS companies that have outgrown the duct-taped Clay-plus-HubSpot-plus-Apollo stack. Not slide decks. Not retainers. Working systems with the keys handed over at the end.
Before I went solo, I led RevOps and growth engineering inside venture-backed B2B SaaS teams. The pattern repeated: pipeline math broke after the lead was captured, attribution went dark past the first touch, and reps spent two-thirds of their week on work software should have been doing. I started building the infrastructure to fix it. Then companies started asking me to build it for them.
Today I run four to five engagements a year, working with US and global B2B SaaS companies, fully remote. Based in the UK. Every system I ship is documented, transferable, and yours when I leave.
How I work
Five steps. You see the system at every one.
Most agencies run discovery, then disappear into a Notion doc for six weeks. I work in the open. You see what I'm building as I build it, and you keep everything when I leave.
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A 30-minute call, no deck
I want to know what's actually broken: where pipeline math falls apart, what tooling you've stitched together, what your team is doing by hand. If we're a fit, you'll know on the call. If we're not, I'll tell you who is.
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Diagnose: I map your stack in two weeks
I trace signal sources, attribution gaps, tool sprawl, and handoff leakage. I sit with your reps, RevOps, and data. You get an audit document and a prioritised list of what to rebuild and what to leave alone.
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Architect: the blueprint before the build
Pipeline topology, data flows, tool roles, integration contracts. We agree what's custom, what's bought, and what's ripped out. Nothing gets wired until the architecture is signed off.
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Build: I ship the system in production
I write the code, configure the stack, wire the integrations. Clay workbooks, n8n workflows, HubSpot architecture, AI qualification, attribution. You see weekly progress in the live system, not in a status deck.
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Activate and Transfer: you keep the keys
I train your team, document every workflow, and stay on Slack for 30 days during handoff. After that, you run it. The code is yours, the data is yours, the runbook is yours. No retainer, no agency lock-in.
Numbers tied to mechanisms.
Three results from real systems. Every number names the verb and the stack underneath it.
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95%
realized AI operating cost reduction
A venture-backed AI infrastructure startup: cut $10.5K → $467/mo via multi-provider LLM routing, 90% prompt caching, semantic cache on Upstash Vector.
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2.5×
ARR (B2B SaaS client, mid-eight to nine figures)
7-signal lead qualification system, multi-inbox outbound infrastructure, full-funnel attribution.
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4 weeks
typical build time
Diagnose, Architect, Build, Activate, Transfer. Infrastructure live, team trained, keys handed over.
What I think
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Most GTM consultants are top-of-funnel only. I build the full funnel.
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Open-source GTM stacks beat SaaS sprawl: n8n + Ollama + Qdrant ships faster than Clay + HubSpot + Apollo.
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The competitive moat in AI is orchestration, not the model.
Start here
Foundational reads on GTM infrastructure
Four pages that define the role, the method, and the problem I focus on.
- What Is a GTM Infrastructure Architect? The role this practice is built on, spanning GTM engineering and revenue operations.
- GTM Engineer vs GTM Infrastructure Architect Where the GTM engineer role ends and infrastructure architecture begins.
- The Five Phases of a GTM Infrastructure Build Diagnose, Architect, Build, Activate, Transfer: how an engagement runs end to end.
- What Is Post-Pipeline Revenue Optimization? Protecting revenue after the lead is captured: qualification, routing, and attribution.
Frequently asked questions
Is GTM Wizard.io the same as GTO Wizard or the GTM Wizard WordPress plugin?
No. GTM Wizard.io is my independent GTM infrastructure consultancy. It has no connection to GTO Wizard (the poker training site at gtowizard.com), the Complianz GTM Wizard WordPress plugin, GTM.io, Wiz.io, or tagwizard.io. One operator, one focus: revenue infrastructure for B2B SaaS.
What does "GTM" mean here?
Go-to-market. I build the systems that take a B2B SaaS company from raw lead to attributed revenue: data enrichment, qualification, CRM architecture, and lifecycle automation. Not Google Tag Manager, and not analytics tagging. The infrastructure underneath your sales and marketing motion.
Who runs GTM Wizard.io?
I do. I'm Mathew Joseph, a GTM Infrastructure Architect. I work with US and global B2B SaaS companies, fully remote, and I'm based in the UK. I led RevOps and growth engineering inside venture-backed B2B SaaS teams before going solo. Every engagement is delivered by me, not handed to a junior associate.
What exactly do you build?
The full GTM infrastructure, end to end. Data enrichment through CRM architecture through revenue attribution, built in your stack (HubSpot, Clay, n8n, Segment), in eight weeks. Working systems, not slide decks. I build it, document it, and hand you the keys.
How do you price engagements?
Each engagement is scoped to the build, with milestone-based payments rather than a monthly retainer. There is no recurring dependency: when the system ships, it is yours. I take four to five engagements a year, so pricing reflects senior, single-operator delivery. Let's talk specifics on a call.
How is this different from a retainer-based firm or an AI SDR tool?
A retainer firm keeps you paying monthly; a tool just scales whatever process you already have, broken or not. I build infrastructure that stays after I leave. It fixes the root cause instead of the symptom, and it covers the full funnel, not just top-of-funnel lead capture.
What is a GTM Infrastructure Architect?
It is the role I built for myself: part GTM engineer, part revenue operations (RevOps) architect. Most GTM engineers stop at the top of the funnel. I design the full system, from lead capture through post-pipeline flows, CRM data model, and revenue attribution. The plumbing that makes the whole motion measurable.
Who do you work with?
B2B SaaS companies scaling outbound that have outgrown a duct-taped Clay-plus-HubSpot-plus-Apollo stack, usually post-Series-A with a revenue team in place. If your pipeline math breaks after the lead is captured and attribution goes dark past the first touch, that is exactly what I fix.
Do you work with US companies?
Yes. I work with US and global B2B SaaS companies, fully remote. Every engagement runs the same way regardless of geography: I diagnose, architect, build, and transfer the revenue system, then hand you the keys. Where your team sits does not change the work or the ownership model.