The GTM Engineer bridge.
Pigment closed the $145M Series D with ICONIQ Growth in April 2024. The pattern I see at this stage: enterprise SaaS platforms with rich product-usage data leave that signal stuck inside the product while the commercial team prioritizes accounts on logo size and ICP fit. I just shipped this for Daylit (AR-agents/fintech infra, 6-signal HubSpot enrichment, 2-week build). I run the GTM Engineer function while the org scales so your enterprise motion starts on signal, not vibes.
Pigment's planning platform fires more buying signals per workspace than any cold list can match.
Enterprise FP&A is committee selling. Finance, CFO, RevOps, and the BU planning leads all enter the cycle on different signals. When workspace growth, model expansion, and seat adds inside a Pigment account never reach the CRM in a form the commercial team can route on, the AE finds out at renewal instead of at expansion. The fix is the signal layer underneath HubSpot or Salesforce. That is what your Head of RevOps owns at scale, and what I run now so the next 2 quarters of enterprise pipeline are not waiting on the hire to ramp.
Three things only an internal builder can fix.
Workspace expansion never reaches the account record
When a finance team triples planning models inside a quarter, that is the strongest expansion signal Pigment has. If it does not auto-write to the CRM, the AE catches it at QBR instead of at the moment intent is highest.
Enterprise plays still run on firmographics
Without product-signal routing, enterprise sequences fire on industry and headcount instead of actual platform engagement. The accounts most ready to upgrade get the same outreach as cold lookalikes.
Committee buyers flatten into 1 opportunity
FP&A platforms get sold to CFO, Head of FP&A, and BU planning leads on different proofs. If the CRM treats them as one buyer, the AE writes to the lowest common denominator and the cycle stalls in finance review.
A product-signal-to-pipeline layer the Pigment commercial team actually trusts.
- Weeks 1 to 2
Map Pigment platform events against CRM account scoring
Audit which usage signals reach the CRM today vs which ones live only in product analytics. Identify the 5 to 6 signals that would have triggered enterprise outreach last quarter and did not. Same audit pattern I ran for Daylit.
- Weeks 3 to 4
Ship the 6-signal CRM enrichment, Daylit-style
Workspace growth, model expansion, finance-seat adds, integration adoption, and 2 ICP-specific signals write to the account record with an evidence chain on every hit. AEs walk into enterprise pipeline with the why already written.
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 Pigment. 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.