The GTM Engineer bridge.
Boulevard posted a GTM Engineer role on May 2nd, which means the automation layer between marketing-sourced pipeline and closed revenue is being held together manually right now. I run the GTME function while Brandon hires so your marketing attribution stops drifting and your campaign reporting reflects what actually happened.
CMO attribution dies when handoffs are manual.
The cleanest demand-gen motion in the world looks broken in Salesforce if inbound routing fires inconsistently, lead source gets overwritten at handoff, and stage progression drifts. That is not a marketing problem. That is the automation layer underneath. While the GTME search runs, your dashboards are reading from plumbing that nobody owns full-time.
Three things only an internal builder can fix.
Lead source gets overwritten in the handoff
Marketing-sourced opportunities lose attribution at the AE handoff in most early-Series-D Salesforce instances. The campaign that worked looks like it didn't. Budget conversations get harder than they need to be.
Inbound routing inconsistency caps conversion
If demo requests sit longer than they should before an AE picks them up, your highest-intent leads convert at field-marketing rates. The fix is workflow, not more SDRs.
Reporting reads only as cleanly as the pipeline
Board-ready marketing reporting needs the stage taxonomy and automation underneath to be tight. Right now Julia is holding that solo while the GTME role is open.
Marketing pipeline that reads cleanly because the workflow underneath does.
- Weeks 1 to 2
Audit attribution and routing
Where does lead source get overwritten. How long do inbound demos sit. What does the marketing-sourced funnel actually look like vs what your dashboard claims. You get a written read in 2 weeks.
- Weeks 3 to 4
Fix the highest-impact routing or attribution gap
Likely inbound demo routing or lead source preservation through the AE handoff. Shipped and documented. Your incoming GTME inherits clean attribution and a workflow Julia is no longer holding manually.
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 Boulevard. 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 whether marketing attribution is reading the way you want it to, and I'll reply within a day with a 1-page scope and an honest read on whether this fits.