Define and own the roadmap for an institutional cross-ledger settlement product, leading requirements, partner trials, launch readiness, and coordination across business development, marketing, and engineering.
Product Lead (Analytics & ML)
π Description
- Own the Predictions, Analytics, and A/B testing products.
- Set priorities for a small ML team and help shape its growth.
- Define what the prediction engine forecasts, its accuracy targets, and how customers can verify its performance.
- Work with the team to diagnose and improve slow, imperfect dashboards.
- Decide where existing ML capabilities should be applied and bring them into products where valuable.
π οΈ Requirements
- You've worked hands-on with code or models at some point in your career, enough to make technical calls yourself rather than take them on trust.
- Strong maths and classical ML. You can argue about model choice, metrics and horizons, not just read the summary.
- You've owned a product, not a backlog. Tell us what you shipped last quarter and what it moved.
- SQL, and the habit of checking numbers yourself.
β¨ Benefits
- Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.
- Exceptional compensation directly tied to your results.
- Direct communication and ownership. No bureaucracy, no politics, just impact.
- Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.
- Professional support. Language learning
- Sports
- Health insurance
- Laptop coverage
Full job description
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.
What this role is about:
We process $2B+ in subscriptions a year, which means we hold 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. If you know what a cohort will be worth, you know how much to spend acquiring it. You can show a founder their month-end revenue before the month ends. You can lend against subscription revenue that hasn't arrived. None of that works without a prediction engine that people trust.
What you'll own and work day to day:
Predictions, Analytics and A/B testing: three connected products under one owner.
A small ML team. You decide what it works on and who joins it next.
The prediction engine: what it forecasts, how accurate it has to be, and how we prove that to a customer.
Our dashboards are slow, so people stop opening them. You find out why they're slow and not perfect and fix it with the team.
We have ML capability that hasn't shipped into anything, not the dashboards, not the tests. You decide where it goes, or whether it goes at all
About you:
You've worked hands-on with code or models at some point in your career, enough to make technical calls yourself rather than take them on trust.
Strong maths and classical ML. You can argue about model choice, metrics and horizons, not just read the summary.
You've owned a product, not a backlog. Tell us what you shipped last quarter and what it moved.
SQL, and the habit of checking numbers yourself.
What's in it for you
Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.
Exceptional compensation directly tied to your results.
Direct communication and ownership. No bureaucracy, no politics, just impact.
Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.
Professional support. Language learning, sports, health insurance, laptop coverage, and more.
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