The GTM Engineer bridge.
Boulevard posted a GTM Engineer role on May 2nd. You've scaled this motion before at Mindbody, so you already know which automation gaps bite first between $50M and $250M. I run the GTME function while you hire so the plumbing under Julia's pipeline gets built now, not 10 weeks after the new hire starts.
The board doesn't care that the GTME role is open. They care that pipeline conversion holds.
You've lived the $50M to $250M climb at Mindbody. You know that the automation layer is what either compounds rep productivity or quietly caps it. The job posting is the right call. The 10-week gap between posting and shipped work is the risk. I close that gap so Julia stops holding handoffs manually and your forecast stops drifting on stage hygiene debt.
Three things only an internal builder can fix.
Rep productivity caps without the plumbing
You can hire AEs. You cannot hire your way out of manual lead routing, drifting stage definitions, and CS handoffs that live in Slack. The Mindbody scale curve taught this lesson the expensive way.
Julia is the bag-holder right now
From the outside, your Sr Sales Ops Manager is holding RevOps solo. Every week the GTME search runs is a week she's writing Zapier instead of building the system she was hired to design.
Board confidence lives in forecast tightness
At Series D and the climb to $250M, the board reads forecast variance like a polygraph. Stage hygiene and automated progression are what keep that number honest.
Shipped automation under your pipeline before the GTME starts.
- Weeks 1 to 2
Map every handoff Julia is holding manually
Salesforce audit, stage hygiene check, automation inventory. Your Mindbody playbook tells me where to look first. You get a written read on what's costing rep time and forecast confidence.
- Weeks 3 to 4
Automate the highest-friction handoff and document it
Likely inbound routing or demo-to-close progression. Shipped, monitored, handed off. Your incoming GTME inherits a working system and a runbook, not a backlog.
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 the GTME gap is the right thing to close first, and I'll reply within a day with a 1-page scope and an honest read on whether this fits.