Сербия
Великобритания
AdaptyProduct Lead (Analytics & ML)
1 нед. назад
СербияВеликобританияLead
mlsql
Adapty is a fast-growing SaaS company powering mobile app subscriptions with a mission to build the best LTV predictor and deliver accurate revenue predictions. The Product Lead will own prediction, analytics and A/B testing products, lead a small ML team, and improve dashboard performance and ML feature deployment.
About the company
- At Adapty, we make it easy for mobile apps to manage in-app purchases and paywalls.
- We power 20K+ apps, process $3B+ in subscriptions every year, and have been growing fast for the last four years.
- Our mission is simple: make apps rich.
- We are a team of 210+ passionate, product-driven people who love solving big challenges.
- Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile’s fastest-growing SaaS companies and aiming for number one worldwide.
About the product
- We process $2B+ in subscriptions a year, holding more data on how mobile subscriptions actually behave than almost anyone else.
- Showing revenue data fast and accurately is extremely important for founders and growth people.
- Projecting LTV as accurately as possible is vital for app growth: it gives leverage to scale user acquisition, plan finances, and more.
- Our goal is to build the best LTV predictor on the market, which lets us build more on top of it, like embedded finance.
- That data should make our revenue and LTV predictions the most accurate on the market. It doesn’t yet. That’s the job.
- Accurate predictions change what an app can do, enabling informed user acquisition spend, showing month-end revenue early, and lending against subscription revenue that hasn’t arrived.
- None of that works without a prediction engine that people trust.
Responsibilities
- Own three connected products: Predictions, Analytics and A/B testing.
- Lead a small ML team deciding their work and future hires.
- Control the prediction engine: determine its forecasts, accuracy requirements, and how to prove it to customers.
- Investigate and fix reasons why dashboards are slow and imperfect with the team.
- Decide on shipping ML capabilities to dashboards, tests, or elsewhere, or whether not to deploy at all.
Requirements
- Hands-on experience with code or ML models to make technical decisions independently.
- Strong maths and classical ML knowledge with ability to discuss model choice, metrics and horizons.
- Product ownership experience with measurable shipped results.
- Proficiency in SQL and habit of verifying numbers directly.
Conditions
- Exceptional compensation directly tied to your results.
- Flexible remote work with options to work onsite in Belgrade, Serbia or London, UK.
- Professional support including language learning, sports, health insurance, laptop coverage, and more.