The GTM Engineer bridge.
Resolve AI closed $125M with Coinbase, DoorDash, and MSCI in the logo book, and Ben is 5 months into building the commercial motion. PMM at this stage usually writes positioning against a motion that does not yet exist on paper. I run the GTM Engineer function while you hire so the layer your messaging sits on top of is actually wired.
PMM cannot land positioning on a motion that lives in 3 people's heads.
Coinbase, DoorDash, and MSCI each bought for different reasons. SRE pain at one, on-call burnout at another, incident cost at the third. If those 3 stories never get pulled apart into personas and objection maps, the messaging you ship to the next AE wave gets averaged across all 3. That is not a positioning problem. That is a play documentation problem feeding into positioning. The fix is the playbook layer underneath, which is what a GTME would own.
Three things only an internal builder can fix.
3 anchor deals, 0 written persona docs
PMM needs the persona, objection pattern, and proof points pulled out of each anchor deal to write distinct positioning. Right now that work has not happened yet. You inherit averaged messaging by default.
No signal layer to inform campaign timing
Without infra-event signals or hiring triggers wired into CRM, PMM cannot time campaigns to when accounts are actually in-market. Every campaign goes to the same cold list.
Sales enablement is downstream of the play
Decks, one-pagers, battlecards all flatten when the underlying play is not codified. PMM ends up shipping enablement against tribal knowledge instead of a documented motion.
A documented motion and a signal layer your positioning can actually sit on.
- Weeks 1 to 2
Pull Coinbase, DoorDash, MSCI into 3 distinct persona docs
Time with Ben and each deal owner. Persona, objection map, proof points, cycle pattern per deal. PMM walks away with the raw material to write 3 distinct positioning angles, not 1 averaged one.
- Weeks 3 to 4
Wire the signal-to-campaign layer
Infra incidents, SRE hiring, funding events piped into CRM with rep alerts. PMM gets triggered-campaign timing that lands when accounts are actually in pain, not on a flat blast cadence.
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 what is hardest to position right now and I will reply within a day with a 1-page scope and an honest read on whether this fits.