The GTM Engineer bridge.
Wispr Flow closed the $25M Series A Extension in November 2025 and post-Yapify the book carries 270 Fortune 500 logos. The B2B Marketing Lead role is open, which means the system that scores and routes enterprise demand does not yet exist. I run the GTM Engineer function while you hire so the next two quarters of enterprise revenue do not depend on whoever happens to read the inbound queue that morning.
Enterprise pipeline at this stage is a CRM signal problem, not a sales coverage problem.
When 270 Fortune 500 accounts sit in HubSpot without a tier, a product-usage signal, or an ICP fit score, every AE conversation starts from zero. The fastest path to enterprise revenue is not more outbound. It is a scoring layer that tells you which 30 of those 270 are actually heating up, and a routing layer that gets them to a rep with context before the moment passes. That layer is what the B2B Marketing Lead would eventually own. I run it while you hire so the board update next quarter reads from a system, not a story.
Three things only an internal builder can fix.
Inbound at enterprise scale without tiers
270 Fortune 500 logos is the kind of distribution most companies chase for years. Without tiers, intent signals, and routing, the AE motion treats a CIO trial the same as a champion experimenting on a personal account. The strongest signal in the book gets averaged into the noise.
Product usage never reaches the account record
Voice dictation usage is the highest-fidelity intent signal Wispr Flow generates. If those events do not write back to HubSpot as a tier change or an alert, the expansion conversation happens 60 days later than it should, or not at all.
The B2B Marketing hire is 6 months from impact
Sourcing, ramping, and the first real build is realistically two quarters. That is two board cycles of enterprise pipeline that runs on the system you have today, or the system someone builds while they ramp.
An enterprise signal layer that tells you which Fortune 500 logos to work right now.
- Weeks 1 to 2
Map the 270 Fortune 500 accounts against fit and behavior
Audit HubSpot. Tier the book by ICP fit, product-usage depth, and recent activity. Output the 30 accounts that justify an AE conversation this quarter and the 100 that justify nurture.
- Weeks 3 to 4
Ship the scoring and alerting layer
Firmographic and product-usage signals write to HubSpot account records. Tier changes and threshold crossings ping the right owner in Slack. Outbound sequences trigger on real account behavior, not a quarterly list pull.
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.