The GTM Engineer bridge.
Polimorphic closed $18.6M Series A (General Catalyst, July 2025). You are scaling state and local government sales with procurement-grade buyer complexity (multi-stakeholder, long cycle, regulated) and the Marketing Ops seat that owns pipeline infra was still open as of the raise. I run the GTM Engineer function in parallel so reps walk into qualified pipeline before the MOps hire ramps.
Government-vertical pipeline cannot wait on a Marketing Ops hire.
State and local procurement cycles are 9 to 18 months. Every quarter you spend without a working ICP signal layer + CRM routing layer is a quarter of cycle time you do not recover. The MOps hire is the right call. The 4 to 6 month gap between the JD posting and shipped work is the risk. I close that gap with the same delivery model I used at AssetWatch (custom GPT giving leadership natural-language access to production Salesforce, 4 weeks), tuned here so your reps stop reconciling agency-type and deal-stage data by hand.
Three things only an internal builder can fix.
Government buyer complexity flattens without lane logic
City clerk, county procurement, IT director, and elected officials each behave differently and convert on different proofs. If the CRM cannot distinguish them at the stage level, your reps run one motion against three buyer types and the pipeline reflects the average.
No outbound infrastructure means no signal-led territory
Reps prospecting state and local agencies blind is the most expensive form of pipeline you can buy. RFP windows, budget cycles, and procurement triggers are the highest-fidelity signal you have. They need to live in CRM, not in someone's bookmarks.
The MOps hire ramps for a full procurement cycle
Even the right hire needs 90 days to learn government buyer behavior and another 90 to ship infra. Your next 2 quarters of pipeline run on whatever exists today, or on something built in parallel.
An ICP signal layer + CRM routing for state and local procurement buyers.
- Weeks 1 to 2
Build the government procurement signal layer
RFP triggers, budget cycle windows, new procurement officer hires, IT modernization grants, state-level AI policy moves. Each signal carries source + confidence tier so reps trust what fires. Tuned to state and local agency profiles, not generic enterprise SaaS.
- Weeks 3 to 4
Wire CRM routing that separates expansion from net-new
Agency type, deal stage, and buyer role enforced as fields. 3-touch outbound sequence the team runs without a dedicated MOps hire. Your MOps hire inherits a working system on day 1.
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.