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Adapty
22 days ago
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Lead
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Adapty — is a subscription monetization platform for mobile apps. We process over $3B in subscription revenue annually, and more than 20,000 apps use our services. We are dividing the product into streams and are now assembling analytics and ML under one owner.
The entire mobile advertising industry relies on a single gap: revenue from an acquired user comes in over a year through subscriptions and renewals, but the decision on whether to continue spending on a channel needs to be made within a few days. This gap is closed by LTV prediction — and the accuracy of this forecast directly determines how much an app can afford to spend on growth.
We have more data for this than almost anyone else on the market: we see thousands of apps simultaneously, not just one. This means we can predict more accurately than anyone. We don't predict currently, and this is the role's task.
The domain is being built from scratch: analytics, prediction, and A/B tests are converging under one owner for the first time. You get a clean slate in decision-making on top of a product that is already generating revenue for twenty thousand apps.
➡️What you will do: — Define what constitutes model quality — metric, horizon, baseline, calibration — and bring the prediction to that level — Take ownership of paywall A/B tests and integrate them with predictions: the test measures short-term impact, while rollout should be based on long-term revenue — Boost analytics: identify bottlenecks — in data, queries, or interface — Decide the fate of accumulated ML developments: what to bring to production, what to close — Lead a team of two ML engineers
➡️Who we are looking for: — Classic ML and mathematical statistics at a level that allows for a substantive debate about metrics and horizons, not just rehashing others' conclusions — SQL and Python — you will retrieve and verify numbers yourself — Ability to take a broad direction and lead it to completion without task delegation — Product experience is a plus, but not a requirement
📌Plus points: subscriptions, mobile, or fintech (LTV, churn, cohort economics); experimental design: power, MDE, multiple comparisons; ClickHouse; olympiads, Kaggle, public projects.
(applications without CV will not be considered)
