Estimating the long-run customer value of a pricing decision is genuinely hard. The causal effects are delayed, noisy, and confounded by factors that standard experiment analysis wasn't designed to handle. Most pricing teams default to short-run metrics not because they don't care about long-run outcomes, but because measuring them rigorously is an unsolved problem.

P2OS is building the science to solve it. We're hiring a Sr. Economist to own that work — defining how we estimate customer lifetime value in a pricing context, building the identification strategies that make those estimates credible, and translating outputs into something pricing teams can use to make better decisions. The role sits at the intersection of econometric methodology and production-quality analysis, and requires someone who can operate independently in both.

As science lead, you'll own the LTV methodology domain, develop the economists and scientists on your scrum, and be the internal authori...