The GTM Engineer bridge.
Spinwheel closed $30M Series A in June 2025. When the COO also owns platform at a fintech infra company, the GTM systems layer (enrichment waterfall, CRM routing, outbound sequencing) tends to land in your seat before a dedicated GTME hire shows up. I run that function in parallel so your platform team stops getting pulled into GTM plumbing and the build is portable when the hire lands.
GTM plumbing pulls platform engineers off the roadmap.
Without a GTME function, the asks land somewhere. Marketing needs a webhook into HubSpot. Sales needs a credit-API signal piped into a lead score. RevOps needs an enrichment waterfall that does not break on tier-2 lenders. Each ask is small. The cumulative cost is platform engineers context-switching off product work. The fix is a separately-owned GTM systems layer built portable from commit 1 with Docker + env vars + state adapters so your eng team can take it over later if they want to.
Three things only an internal builder can fix.
Every GTM ask becomes a platform ask
When there is no GTME function, the routing logic, enrichment workflow, and HubSpot integration work funnels to platform. Your engineers ship features 20% slower because the queue is full of GTM plumbing.
Portable-first or rebuild-later
If the GTM systems get hacked together in Zapier and Make, you inherit a rewrite when the GTME hire lands. If they get built in code with env vars and state adapters from day 1, the handoff is a git clone.
Credit-API data is the leverage point
Spinwheel's real-time debt and credit signal is the highest-fidelity GTM input you have. The system that routes it into HubSpot and out to AEs is the system that compounds the Series A spend.
A portable GTM systems layer your platform team does not have to maintain.
- Weeks 1 to 2
Audit the GTM ask queue hitting platform today
Inventory every GTM-driven request landing in your team. Map which ones belong in a GTM systems layer vs. which are real platform work. Output a written read on the load you are absorbing.
- Weeks 3 to 4
Ship a Dockerized HubSpot enrichment + routing service
Clay-based enrichment tuned for lender and BNPL ICPs, Slack alerts on high-fidelity hits, lead routing layer your team operates without eng support. Built portable with env vars from commit 1. Your platform engineers go back to product.
Six production signals, shipped in 2 weeks.
Daylit closed Series A and needed an AE-ready territory before the first NA hire ramped. I built the ICP signal layer. Six buying signals piped from raw data sources (theirstack, Crustdata, news APIs) through Anthropic evidence-chain classifiers into HubSpot, with Slack alerts on high-fidelity hits. The first AE walked into a defined territory, not a cold start. 2 weeks. Same fixed-fee discipline.
Same play I would run for Spinwheel. Different stack, same fixed-fee discipline.
$15,000, fixed. 6 weeks. One invoice.
- Signal architecture
- Account list and buying-committee map
- Sequence build, live send, and deliverability infrastructure
Documentation and handoff included, not billed. If volume justifies it after the bridge, $25,000 / 90-day retainer extends the system. Your call, not mine.
Reply if this maps to where you are.
Send me a sentence on how the pipeline reads today, and I will reply within a day with a 1-page scope and an honest read on whether this fits.