The GTM Engineer bridge.
Doppel posted a GTM Engineer role. Threat detection events are the highest-intent demand signal you have, and right now they likely do not flow back to Marketing as routable pipeline. I run the GTM Engineer function while you hire so the layer between product signal and campaign exists before next quarter's planning.
The demand signal that converts best is already inside your product.
Marketing teams in threat-intel categories pour budget into intent data from third parties when the highest-intent signal in their stack is the detection event itself. If Doppel's threat events do not auto-route into nurture, ABM, and AE handoff, you are buying surrogate intent data while your real intent data sits unused. That is the GTME plumbing problem your FTE will eventually own.
Three things only an internal builder can fix.
Third-party intent vs. first-party signal
You probably pay for intent data that tells you which accounts are researching threat intel. Your product already tells you which accounts have real threats. The second signal converts better and costs less if the plumbing exists.
Nurture does not adapt to product behavior
If a prospect hits a detection threshold mid-cycle, the nurture track does not shift. They get the generic sequence while their actual situation just escalated.
Marketing-to-sales handoff misses the window
When a high-fidelity threat event fires, the AE should know in minutes, not in a weekly report. The handoff layer is the part Marketing cannot ship alone, and the GTME hire is months out.
A first-party signal layer that turns product events into Marketing motion.
- Weeks 1 to 2
Map Doppel's detection events against the demand funnel
Audit which threat events Marketing can already see vs. which ones die in product dashboards. Identify the 3 to 5 signals that would shift a nurture track or trigger a handoff and currently do not.
- Weeks 3 to 4
Ship the SFDC automation that routes signal into Marketing motion
Detection events auto-update lead scores, shift nurture tracks, and notify AEs in real time. Marketing stops buying surrogate intent and starts running on first-party behavior.
Salesforce in plain English, shipped in 4 weeks.
AssetWatch leadership wanted natural-language access to pipeline, accounts, demo outcomes, and work orders without filing a RevOps ticket for every question. I shipped a custom GPT in ChatGPT Enterprise that translates English to SOQL and queries production Salesforce live. Two Knowledge files made it work: an auto-generated schema catalog covering 26 objects and 3,800+ fields, plus a hand-curated semantic layer encoding AssetWatch tribal knowledge, so "who owns this deal" returns the Solution Architect and "deal size" returns ARR, not the raw admin fields. Read-only, leadership-facing, 4 weeks. Tyler's team owns the maintenance now.
Same play I would run for Doppel. 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 first-party signal is the bet you want to make next quarter.
Send me a sentence on how product signal reaches Marketing today, and I will reply within a day with a 1-page scope and an honest read on fit.