It's hundreds of small daily decisions — which means it has to be in the org structure or it doesn't happen.
Three shapes are in use across product-led companies. They differ in what a pod owns — headcount, a flow, or a metric.
Select a model to see its shape and reporting line
5–10 people, rolls up to the CEO, with a PM + designer core. Add engineers and data scientists as it grows.
Right for most companies starting outThe Uber and Facebook shape. Pods own Signups, Onboarding, Notifications. Each pod is a PM, an engineer, a designer and a data scientist, owning one flow end to end.
Right when flows are big enough to staffPods own Acquisition, Activation, Retention, Revenue and Referral. The metric is the mandate, and the pod picks the surface it needs to move it.
Right when the funnel is instrumented end to endPods optimize their own number and wreck the experience between them. Signups floods a funnel Onboarding isn't staffed for; users bounce.
4,000 signups × 15 points of activation left on the table = 600 users a month. 600 × $1,200 a year each = $720,000 a year, from one month's signups.
Move the sliders to your own numbers. The arithmetic is deliberately simple so you can check it — no attribution model, no assumed lift curve.
Product builds long-term. Growth reacts to engagement data. They intersect in four places, and each one is a different kind of handoff.
Aggressive ship-learn-ship cadence. Hack after hack to prove a theory. Perfect is BS. Then pay on the number you actually want moved — Deputy bonuses its squad on percentage improvement in conversion rate.
Notifications shipped the most and moved the least. On a shipped-count incentive it wins the quarter; on a lift incentive it doesn't. What you measure is what you optimize for.
Going all-in on product and engineering has a predictable cost, and a known fix. Both are worth putting in writing before you reorganize.
Product updates, education, training, onboarding. Marketers should care as much about trial-to-paid as they do about traffic.
We build and run the system that turns demand into revenue — including the reporting lines, the pod charters and the seams between them.
We engineer growth systems. JayOh builds the RevOps architecture, GTM execution and data infrastructure that turn messy revenue operations into predictable pipeline for B2B SaaS and PE-backed teams.