Product Lead (Analytics & ML)

The employer is one of the largest monetization platforms for subscription apps, used by 20,000+ apps with $3B+ in subscriptions flowing through it annually. They are looking for someone to own analytics and ML and build from scratch a function where analytics, prediction and A/B tests come together under a single owner. The main task is predicting user LTV to inform ad spend decisions.

What you'll do

• Define what counts as model quality — metric, horizon, baseline, calibration — and bring the prediction up to that level
• Take over paywall A/B tests and reconcile them with the prediction: tests measure short-term effect, while rollout must be driven by long-term revenue
• Accelerate analytics: find where the bottleneck is — in data, queries or the interface
• Decide the fate of accumulated ML work: what gets shipped to product and what gets shut down
• Lead a team of two ML engineers

What we need

• Classical ML and mathematical statistics at the level of a substantive debate about metric and horizon, not retelling others' conclusions
• SQL and Python — you pull and verify numbers yourself
• Ability to take a broad direction and drive it to results without being handed tasks
• Product experience is a plus, but not a requirement

Nice to have

• Experience with subscriptions, mobile or fintech (LTV, churn, cohort economics)
• Experimental design: power, MDE, multiple comparisons
• ClickHouse
• Olympiads, Kaggle, public projects

Stack & operators