The GTM Engineer bridge.
Doppel posted a GTM Engineer role. Threat-intel-to-customer-action is a real-time signal-to-outbound build, and the FTE will need months of plumbing before they ship anything AEs feel. I run the GTM Engineer function while you hire so your reps walk into qualified pipeline next quarter, not next year.
Every detection event your AEs reconcile manually is revenue you are renting from chance.
Doppel's product fires high-fidelity threat-detection events constantly. If those events do not auto-route into SFDC opportunity stages and outbound sequences, the conversion from signal to pipeline depends on which AE happened to notice. That is not a coverage problem. That is the signal layer your GTME hire will eventually own, and it stays unbuilt until they ramp.
Three things only an internal builder can fix.
Detection events die in dashboards
If a customer hits a threat threshold and the AE finds out 3 days later in a weekly report, the expansion conversation is already cold. The signal had a window. The system missed it.
Outbound sequences run on firmographics, not behavior
AEs are sequencing on title + industry when they could be sequencing on real product activity. Reply rates and conversion both compound when the trigger is behavioral.
The GTME hire is 6 months from impact
Even the right hire needs to land, learn the threat data model, and design the routing layer. Pipeline does not wait. The quarter you bridge is the quarter the FTE catches up to.
A signal-to-pipeline layer that turns detection events into qualified opportunities.
- Weeks 1 to 2
Map Doppel's threat events against SFDC opportunity stages
Audit which detection events fire automatic stage changes vs. which ones AEs reconcile by hand. Identify the 3 to 5 signals that would have triggered expansion conversations last quarter and did not.
- Weeks 3 to 4
Ship the SFDC automation that routes events into sequences
Detection events auto-create tasks, update deal stages, and trigger outbound. AEs walk into qualified pipeline driven by real customer activity, not a weekly dashboard pull.
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 signal-to-pipeline is the bet you are making.
Send me a sentence on how detection events reach your AEs today, and I will reply within a day with a 1-page scope and an honest read on fit.