The GTM Engineer bridge.
Polimorphic closed $18.6M Series A (General Catalyst, July 2025). Government-vertical AI at Series A means the GTM layer has to meet procurement-grade buyer complexity (multi-stakeholder, regulated, 9 to 18 month cycles) with zero pipeline tooling today. I run the GTM Engineer function in parallel so the routing logic + signal layer your MOps hire will inherit gets built before they start, not 90 days into their ramp.
Engineering-quality GTM infra cannot be the MOps hire's first project.
You and Parth built Polimorphic on engineering rigor. The GTM layer that sells into states and counties has to match that rigor. Stage taxonomy enforced by required fields, ICP scoring with auditable evidence, routing that respects agency type and procurement role. That is engineering work, not marketing-tool configuration. If the MOps hire spends quarter 1 scoping it and quarter 2 building it, you lose the GC-funded window where the company is supposed to compound. I do that build now so they ship campaigns on day 1.
Three things only an internal builder can fix.
Procurement-grade buyers expect procurement-grade vendors
State and county buyers evaluate vendor operational discipline as part of the eval. If your CRM routing is ad-hoc and your outbound is generic, the buying committee notices. The GTM infrastructure has to read as production-grade because the product does.
Multi-stakeholder routing is a 4-week build with the right pattern
City clerk, county procurement, IT director, elected official all need different sequences and different signal triggers. AssetWatch (predictive-maintenance SaaS, leadership-facing SFDC research agent) shipped in 4 weeks on the same delivery model. Same cadence applies here.
The MOps hire inherits whatever exists on day 1
If they walk into a blank HubSpot + a backlog of routing logic to scope, the first 90 days are infra work, not strategy. The compounding window the Series A bought you closes quietly while they ramp.
An engineering-grade CRM routing + ICP scoring layer for state and local government.
- Weeks 1 to 2
Build the ICP scoring model + agency-type taxonomy
Score model mapped to government procurement buyer titles (city clerk, county admin, IT director, elected official). Agency type enforced as a CRM field with required workflow logic. RFP triggers and budget cycle signals deduped into a single source of truth per account.
- Weeks 3 to 4
Ship multi-buyer routing + 3-touch outbound sequence
CRM routing separates agency type and deal stage cleanly. Sequence the sales team can run before the MOps hire starts day 1. Same delivery model I shipped at AssetWatch in 4 weeks, tuned here for state and local procurement instead of leadership query access.
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 Polimorphic. 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.