The GTM Engineer bridge.
Wispr Flow closed the $25M Series A Extension in November 2025 and the book now carries 270 Fortune 500 logos. The B2B Marketing Lead role is open, which means the data and routing layer underneath the motion is sitting on your desk. I run the GTM Engineer function in parallel so the workflows you maintain manually today get built into the system before the new hire lands.
Ops inherits every gap the CRM signal layer does not close.
When HubSpot does not score accounts by ICP fit, when product usage events do not write back to the account record, and when there is no enrichment waterfall on inbound Fortune 500 contacts, the reconciliation work falls to Ops. That is your weekly cleanup queue, your routing rules patched by hand, and your AE notes filled with context that should have lived on the record. The fix is a signal layer underneath HubSpot that fires the writes your workflows assume already happened.
Three things only an internal builder can fix.
Inbound triage that should be a workflow
If you spend a chunk of every week tiering Fortune 500 inbound by hand, that is a plumbing gap. It compounds with every new AE and every new product surface that generates a signal.
Enrichment runs as a one-off, not a pipeline
When enrichment happens only when a rep flags a contact, the account record is stale by the time the AE works it. Multi-source waterfall on inbound is the kind of build that takes 4 weeks once and saves hours every week after.
Routing rules break silently
Lead routing assumes clean firmographic data on the contact record. When enrichment lags or product signal never reaches HubSpot, the rules misfire and you find out in the QBR, not the moment it happens.
A signal layer that takes the manual reconciliation off your desk.
- Weeks 1 to 2
Audit the Ops cleanup queue against the Fortune 500 motion
Map every reconciliation task you do by hand against where it actually belongs in the system. Identify the gaps that exist because enrichment, product signal, or scoring never reaches HubSpot account records.
- Weeks 3 to 4
Ship the enrichment, scoring, and alerting layer
Waterfall enrichment fires on inbound. Product-usage events write to account records. Threshold crossings ping the right AE in Slack. Your weekly queue gets shorter the day it ships, and the new hire inherits a working system.
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 Wispr Flow. 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.