A great RevOps lead is worth the search. What most inherit is a pile of Zapier runs, Clay tables, and HubSpot fields nobody trusts. PATCH runs the function while you recruit, then hands your hire an owned, readable system and a year they don't spend untangling.
We do the work. You own the machine. Running before the job posting closes.
A strong RevOps lead is one of the best hires a scaling B2B team makes, and most arrive to a tool pile that costs them their first year. Working Mono runs the RevOps function from month one, builds the owned system in your repo and warehouse, then hands your eventual hire a machine they operate instead of excavate.
By the time your RevOps lead signs, the loop below has been running for months: memory built, workflows shipping, reports landing weekly. Day one is a repo tour, not a forensic audit.
A new RevOps lead spends their first weeks interviewing everyone and reading old automations to work out what exists. AI Terrain Mapping does that before recruiting starts: interview agents debrief your team while we inspect the CRM, billing, product analytics, and support systems directly, and the findings land as a map anyone can challenge.
Output: the inherited stack, charted before anyone inherits it
Instead of logic scattered across n8n runs, Airtable bases, and enrichment tabs, revenue data gets joined into one model in your warehouse: product usage, CRM, billing, and support, traceable to source end to end. Every RevOps lead wishes this artifact existed on their first day.
Output: one revenue model, waiting in your warehouse
The question every RevOps function exists to answer, what deserves attention this week, gets answered by the system itself: unowned PQLs, wobbly renewals, expansion signals nobody has touched. Founders read the queue directly until there is a hire to own it.
Output: the weekly priority queue, running pre-hire
Routing, scoring, enrichment, lifecycle, alerts: each ships as verified code to your repo on a weekly cadence. A solo RevOps hire triages that list for a year. Here it ships while you interview, and your lead re-orders it later with full context.
Output: production workflows, live before the offer letter
Every workflow reports what it surfaced and what pipeline it touched, and every decision lands in the repo docs as it is made. The audit trail a skeptical new lead needs in order to trust an inherited system exists because it was written while the system was built.
Output: a decision log your hire can audit
When your RevOps lead arrives, they inherit the memory, the workflows, the docs, and the cadence, then start changing things. We shift to building what they spec, drop to advisory, or step away entirely. The machine answers to them either way.
Output: a hire productive in week one, not quarter two
The RevOps function, running this month. Recruit on your own clock.
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attio
stripe
snowflake
segment
postgres
slack
hubspot
mixpanel
intercom
zendesk
linear
bigquery
salesforce
posthog
amplitudeWhile the job description is still in draft, the foundation goes live: warehouse up, first workflow running, weekly cadence started, and every commit in a repo your future lead will read on day one.
We map the tool pile a hire would inherit: every automation, field, and formula, checked against what the data proves.
Product usage, CRM, billing, and support land joined in your warehouse. The revenue questions get one answer instead of four.
The first workflow ships and the weekly rhythm begins: priorities surfaced, actions routed, results reported.
Docs, runbooks, and every decision committed. If the foundation isn't live by day 28, we refund the month, and the job spec just got easier to write.
Nothing here belongs to us. The code sits in your repo, the data in your warehouse, the workflows on your infrastructure, and the docs read like an onboarding guide because that is what they are. When your RevOps lead starts, ownership doesn't transfer. It was theirs before they arrived. Cancel any month and the system keeps running. Keep us, and their roadmap ships faster.
The ledger below is live: 30+ owned commercial systems running weekly, each one built from day one to be handed to the team that owns it.
In 20 minutes you'll leave with an order of operations: what runs from month one, when the RevOps hire makes sense for your stage, and what their first week looks like walking into a documented machine.
