The GTM Engineer bridge.
Ivo posted a Director, GTM Tech and Automation role. Until that FTE lands and ships, your pipeline-quality reporting is downstream of a CRM that does not yet have a working stage taxonomy or clean source-of-truth fields. I run the GTME function in parallel so your attribution stops being a quarterly debate.
Marketing reporting is a CRM workflow problem before it is a dashboard problem.
You can buy the best attribution tool on the market and it will still report garbage if SFDC stages drift across reps and product usage never reaches the account record. The pattern I see at this stage: Marketing gets blamed for pipeline quality that Sales Ops cannot yet measure cleanly. The JD Ivo posted is the fix. I do that build while you hire so your next QBR is a real conversation, not a methodology fight.
Three things only an internal builder can fix.
MQL to SQL is a black box
Without enforced stage definitions, conversion rates between Marketing and Sales stages are not comparable across reps or quarters. Your funnel math is directional at best.
Product-led signals never reach campaigns
Users hitting activation milestones in-product should trigger lifecycle plays. Today those events live in product analytics and never make it into the campaign layer.
Account fields cannot carry segment logic
Persona, segment, and ICP fit need to live on the account record for your routing and reporting to work. Right now they live in a spreadsheet a PMM updates monthly.
A reporting substrate your attribution tool can actually read.
- Weeks 1 to 2
Audit the path from campaign to closed-won
Map every handoff and field write between Marketing source, SFDC lead, SFDC account, and opportunity. Output the breaks that make pipeline-quality reporting unreliable.
- Weeks 3 to 4
Ship the account-segment and product-signal layer
Persona and ICP fields enforced on the account record. Product activation events written to SFDC as signals your lifecycle and ABM plays can trigger on.
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 Ivo. 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 attribution is a recurring debate.
Send me a sentence on which report you wish you trusted more. I will reply within a day with a 1-page scope and an honest read on whether this fits.