Product Lead (Analytics & ML)

Product Lead (Analytics & ML) at Adapty, remote. Build analytics and ML direction from scratch, predict LTV for subscription apps.

Adapty is one of the largest monetization platforms for subscription apps. We work with 20,000+ apps, process $3B+ in subscriptions per year, and have a team of 210+ people. We are looking for someone to take on analytics and ML. The role is not about supporting other people's models, but about building a direction from scratch where analytics, prediction, and A/B tests come together under one owner. The main task is LTV prediction. Revenue from a user comes in over a year, but decisions on ad spend are made in a few days. We see data from thousands of apps at once, so we can predict more accurately than anyone on the market. We don't predict yet, and that's your task. What to do: - Define what we consider model quality - metric, horizon, baseline, calibration - and bring the prediction to this level - Take over paywall A/B tests and combine them with prediction: the test measures short-term effect, but rollout should be based on long-term revenue - Speed up analytics: find where the bottleneck is - in data, queries, or interface - Decide the fate of accumulated ML developments: what to bring to product, what to close - Lead a team of two ML engineers

Classic ML and mathematical statistics at the level of a substantive argument about metric and horizon, not retelling others' conclusions. SQL and Python - you can fetch and double-check numbers yourself. Ability to take a broad direction and bring it to results without task assignment. Product experience is a plus, but not a requirement. Plus: subscriptions, mobile, or fintech (LTV, churn, cohort economics); experimental design: power, MDE, multiple comparisons; ClickHouse; olympiads, Kaggle, public projects.

Remote work.