The GTM Engineer bridge.
Spinwheel closed $30M Series A in June 2025. A VP Marketing with a RevOps background landing at a fintech infra company means the first 90 days are about standing up the signal layer your reps actually trust. I run the GTM Engineer function in parallel so the enrichment, ICP scoring, and routing get built while you focus on the strategic plays only you can run.
Demand-gen at Series A is a CRM workflow problem before it is a campaign problem.
You can ship the best campaign Spinwheel has ever run and the pipeline still flattens if HubSpot does not distinguish a credit-union evaluator from a BNPL operator from a tier-2 lender. The reports roll up to a blended MQL number and the next budget conversation gets harder than it should be. The fix is the enrichment + ICP scoring layer underneath, not a new dashboard. You know this. The question is whether you build it yourself this quarter or run a function alongside.
Three things only an internal builder can fix.
Lender personas need to be enforced fields
Credit unions, BNPL operators, and consumer lenders convert on different proofs and different timelines. If the CRM cannot tell them apart at the lead level, every nurture track averages out and every routing rule patches by hand.
Credit-API signals are the highest-intent data you have
Spinwheel sees real-time debt and credit signal that nobody else does. If those product signals do not flow into HubSpot as routable triggers, you are buying surrogate intent while the real intent sits unused.
RevOps work compounds, but only after it ships
The plays you would build with another quarter of bandwidth are the plays that 10x the function. They do not get built while you are also writing the enrichment pipeline by hand.
A multi-signal HubSpot pipeline your campaigns can actually route on.
- Weeks 1 to 2
Audit HubSpot against Spinwheel's actual ICP lanes
Map credit-API signals, lender hiring patterns, and debt-load indicators to lead and account fields. Identify the 3 to 5 enrichment gaps that flatten reporting today.
- Weeks 3 to 4
Ship the enrichment pipeline + ICP scoring layer
Clay-based waterfall enrichment tuned for lenders and BNPL. Persona enforced on every lead. ICP score writes back to HubSpot so routing fires before reps waste cycles. The system runs while you go build the campaigns.
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.