The GTM Engineer bridge.
Resolve AI closed $125M at a $1B valuation in December, and you are 5 months into building the commercial motion with Coinbase, DoorDash, and MSCI already in the book. The next AE wave will not close on founder conviction. I run the GTM Engineer function while you hire so the playbook and the signal-to-CRM layer are in place before the next reps ramp.
The first 3 enterprise wins were closed by you. The next 30 cannot be.
Coinbase, DoorDash, and MSCI closed on a motion that lives in your head and a handful of call recordings. That is normal at 5 months in. It is also the exact thing that breaks when you hire 5 more AEs against a 1B board case. The build is not more reps. The build is a repeatable play, a signal layer that feeds them pipeline, and a stage model that does not flatten enterprise into mid-market.
Three things only an internal builder can fix.
The motion is not written down
Personas, objection map, proof points, and cycle timing for Coinbase, DoorDash, MSCI exist as tribal knowledge. New AEs cannot ramp against tribal knowledge under a board case.
No signal layer under the AE wave
At a 1B raise, buying signals (funding rounds, infra incidents, SRE hiring) are abundant. None of it is wired into CRM stage logic or rep alerts yet. AEs will spend month 1 prospecting cold instead of working triggered accounts.
GTME hire is months out
You will hire the role eventually. The question is what the next 2 quarters of pipeline look like if the layer is not in place when AE #4 starts.
A written playbook and a signal layer your next AEs walk into on day one.
- Weeks 1 to 2
Reverse-engineer the 3 anchor deals
Time with you and each deal owner. Pull Coinbase, DoorDash, MSCI into a single playbook: persona, objection pattern, proof points, cycle map. The artifact AE onboarding runs against.
- Weeks 3 to 4
Ship the signal-to-CRM wiring
Equipment-event triggers, hiring signals, infra moves piped into CRM with rep alerts and outbound sequences. New AEs walk into pre-qualified pipeline instead of a blank prospecting list.
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 Resolve AI. 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 where the next AE wave is most exposed and I will reply within a day with a 1-page scope and an honest read on whether this fits.