SaaS & software companies

Runs the operating layer around the product: onboarding as a measured pipeline, customer success to a defined standard, churn signals turned into owned early actions, renewals operations, and one reconciled set of numbers across revenue and delivery — all held together by a weekly operating cadence. What a fractional COO should not do is set product roadmaps or lead engineering; those are different seats. In practice the role fixes the stretch between a signed contract and a renewed one, which in most scaling SaaS companies is the least designed, most revenue-critical part of the business.

Measure where implementations wait, because most onboarding time is not work — it is queueing. Define the stages explicitly, time each one, and expose where projects sit: waiting on customer data, on an integration slot, on an unowned internal handoff. Then give every stage and handoff an owner and a clock, and review ageing implementations weekly. Cycle time usually compresses substantially without adding a single implementer, because the constraint was never effort — it was invisible waiting. The prize is more than efficiency: faster onboarding pulls time-to-value forward, and time-to-value is where renewals are quietly decided.

The signals almost always exist months ahead — decaying usage, a sponsor gone quiet, seats never activated, a change in support tone. What is missing is machinery, not data: one place the signals combine into an account health view, thresholds that trigger intervention, a named owner for acting, and a cadence where at-risk accounts are reviewed and decisions stick. Build that and churn stops being a lagging surprise; the team engages in month three, when engagement is cheap and credible, rather than at the renewal, when it reads as a save attempt and usually is one.

Make the standard explicit instead of personal. Define what every account must experience by segment — contact cadence, health checks, escalation paths, what good looks like at each stage — so the baseline stops depending on who owns the account. Then measure against that standard and coach to it. Your strongest CSMs are the raw material: codify what they do instinctively into the system everyone runs. That is how an operation moved from 95% to 99% quality across more than 2,000 campaigns — not by finding better people, but by building the system that makes the standard survive any one person leaving.

I bring operating experience, not SaaS product experience, and I am explicit about the difference. I have not run a software company; I have spent 19 years running operations, quality systems and governance at enterprise scale. The post-sale problems SaaS companies bring me — stretched onboarding, late churn discovery, quality that depends on individuals, unreconciled numbers — are structurally the operating problems I have solved elsewhere, and the disciplines transfer cleanly. Where the question is genuinely product or engineering — architecture, roadmap, velocity — I stay out and say so, because pretending otherwise would waste your money and my credibility.

A VP of Customer Success runs a function; this work builds the operating model the function — and its neighbours — run on. Many companies hire the VP first and discover the deeper gaps remain: onboarding still unmeasured, signals still scattered, revenue and delivery still on different numbers, no cadence holding it together. The sequence that works is to install the system — stages, standards, scorecards, rhythm — and then let the permanent leaders run and improve it. The engagement is designed to end with that handover; if a strong VP is already in place, the work makes them more effective rather than competing with them.

RevOps typically owns the revenue engine’s tooling and process — pipeline stages, CRM hygiene, forecasting mechanics. The gap this work addresses is wider: the operating link between revenue and delivery, where the forecast meets what implementations and accounts are actually experiencing. In most scaling companies those two worlds run on different definitions and meet only in arguments. The work reconciles them — agreed definitions, named sources of truth, one scorecard, a leadership cadence that uses it — and strengthens RevOps rather than duplicating it, because their numbers finally connect to delivery reality instead of stopping at the closed-won line.

When the binding constraint is the product or the market rather than the operation. If customers churn because the product misses the need, or growth stalls because positioning is wrong, operating discipline will make a struggling machine run smoothly in the wrong direction — and I will tell you that rather than take the engagement. The honest signals that the constraint is operational: retention varies wildly by who runs the account, onboarding stretches while headcount grows, renewals surprise you, and leadership cannot get one trusted view of the customer base. Those are the problems this seat exists to fix.