Your RevOps Team is Solving a Problem You Shouldn't Have

The canonical RevOps hire at Series B goes something like this.

You've crossed $10M ARR. Your pipeline data lives in Salesforce, your call intelligence in Gong, your forecast in Clari, and your CS health scores in a spreadsheet someone built in 2023 that no one fully understands anymore. Your VP Sales is making decisions from four different systems, manually cross-referencing, and still getting surprised by deals that go sideways. You hire a RevOps lead.

Six months later, the RevOps lead has built integrations between four systems, a forecasting dashboard, a Salesforce data model that actually reflects your sales motion, and a set of reports that your leadership team uses weekly. This is progress. This is also not what RevOps is for.

What RevOps is supposed to do

In the canonical vision of the function, Revenue Operations exists to build compounding leverage across the revenue motion. Territory design that unlocks new market surface area. Compensation models that align incentives precisely with business outcomes. Capacity planning that tells you whether you have the team to hit next year's number before you're already behind it. Enablement infrastructure that means a new rep ramps in eight weeks instead of eighteen. Sales process design that shortens cycles and improves win rates at the structural level — not by coaching individual reps, but by removing the friction points that slow everyone down.

That's the mandate. It's a high-leverage, strategic function.

What most Series B RevOps teams actually spend their time on: keeping their existing tools from breaking, cleaning data that shouldn't be dirty in the first place, building reports that should come out of the box, and stitching together integrations that are theoretically "native" but require maintenance every time one of the vendors ships a breaking change.

The scaffolding problem is this: when your tools don't share a common data model, someone has to build the bridges between them. That someone is RevOps. And the bridges require maintenance. And maintenance consumes the hours that should be going into the strategic work.

The math of a scaffolding tax

A good RevOps hire in 2026 costs $110,000–$140,000 in total comp. If they spend 60% of their time maintaining integrations, building workaround reports, and cleaning data — and in my experience, that number is conservative at companies with five or more point solutions — you're paying $66,000–$84,000 per year for infrastructure maintenance.

That's not a RevOps investment. That's a systems tax hiding inside a salary line.

The remaining 40% is the actual strategic work. At sixty percent capacity, you get a territory model that took six weeks instead of three, a compensation redesign that should have been done in Q1 but arrived in Q3, an enablement programme that launched with materials that are already slightly out of date. You get a person working hard and delivering well below what they'd deliver if the stack wasn't consuming most of their attention.

Why this is a structural problem, not a people problem

I want to be precise here because I've watched this misdiagnosed more than once. When the RevOps function underdelivers at Series B, the instinct is to question the hire. Was this the right person? Did they have the right background? Could a more technical RevOps lead have built better integrations?

The right RevOps person cannot fix a broken architecture. If your data model is split across five systems that don't share a common schema, the best RevOps engineer in the world is building duct-tape at scale. The integration that works today breaks when Gong ships v3 of their API. The Salesforce report that's accurate now stops being accurate when the CS team changes how they log customer interactions. The scaffolding requires constant maintenance because it's scaffolding — it was never designed to be permanent infrastructure.

The structural problem is that point solutions were not designed to be integrated. They were designed to be purchased. The integration story is a sales motion, not a product commitment. "We integrate with Salesforce" means there is an integration that works, that someone maintains, that will require attention when either product changes, and that produces data without the interpretation layer that makes data useful.

What the right RevOps function looks like

The companies I've seen do this well have one thing in common: their RevOps team does not spend meaningful time on integration maintenance. Their tools share enough of a common data model that signals flow automatically. Their reports come from a single source of truth, not from a merge of four exports. Their RevOps function operates at the strategic level from month one — territory design, comp modelling, capacity planning, enablement — because the infrastructure doesn't require constant tending.

This is achievable. It requires making a different decision at the tooling level — choosing a system that was designed to carry context across the full revenue motion rather than assembling one from parts that were each designed for a single motion in isolation.

The RevOps hire at Series B should be one of your highest-leverage investments. At most companies, they're spending more than half their time solving a problem that shouldn't exist.

Building better scaffolding is not the answer. Needing less scaffolding is.

Palette is a Revenue OS that was designed to eliminate the integration layer — one data model across Sales, Pre-Sales, CS, and Support. RevOps teams who've switched tell us the same thing: they got their function back. Request access.