The GTM Engineer bridge.
WisdomAI closed $50M (Kleiner + Nvidia, November 2025). You came from LeadIQ, so you know exactly what a clean enrichment pipeline looks like, and you are now building WisdomAI's from scratch alongside a brand-new RevOps function. I run the GTM Engineer function in parallel so the signal-to-HubSpot layer ships in 4 weeks instead of taking 2 quarters of your time.
Marketing reporting cannot read cleanly when the data layer underneath is still being stood up.
You already know the playbook. Multi-source waterfall, ICP scoring, signal-triggered sequences. The constraint is not knowledge, it is calendar. Head of Marketing at month 6 of a Series A is brand, content, demand, hiring, and infra all at once. The enrichment layer that LeadIQ would have given you in a sales-led environment is something WisdomAI has to build itself, and it has to ship before the next class of AE hires lands. I take the infra build off your desk so you stay on the work only you can do.
Three things only an internal builder can fix.
Demand reporting reads as cleanly as the pipeline underneath
MQL-to-Opp conversion math is fiction until enrichment + stage definitions are enforced in HubSpot. Right now your board update on marketing-sourced pipeline is a directional estimate, not a defensible number.
Multi-source waterfall is a 6-week build done right
You know what good looks like from LeadIQ. Standing up Crustdata + technographic + hiring signal + news triggers, with deduping and confidence tiers, takes someone with the pattern doing it full-time for a month. Not a side project across 3 priorities.
The first AE class lands into whatever exists on day 1
If the enrichment + sequencing layer is not in HubSpot when AEs ramp, they prospect blind for 90 days. At $50M raised and Kleiner-level expectations, that is the most expensive form of inaction available.
A multi-source enrichment waterfall + first outbound sequence wired to HubSpot.
- Weeks 1 to 2
Stand up the enrichment waterfall + 4-tier evidence chain
Crustdata + technographic + hiring + news signals deduped into a single source-of-truth record per account. 4-tier evidence chain flags false positives before they reach your queue. Same waterfall pattern I shipped for Daylit, tuned for the WisdomAI ICP of enterprise data and BI teams.
- Weeks 3 to 4
Ship the first ICP-scored outbound sequence in HubSpot
ICP fit + signal trigger + persona-routed copy on day 14. You get a working sequence the new AE class can run, plus a runbook so Navin can iterate without me.
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 WisdomAI. 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.