Product Lead (Analytics & ML)

Ориентир по рынку≈ 225 000 – 400 000 ₽наша приблизительная оценка по 22 вакансиям этой роли, у работодателя вилка не указана

🌍 УдалённоLeadПолная занятость🌍 Основана в СНГ

≈ 225 000 – 400 000 ₽наша приблизительная оценка

Стоит ли откликаться

Стоит откликнуться, но спросите про деньги

Сумму в объявлении не указали. Сколько платят за похожую работу, видно в разборе. Вакансия живая, задачи расписаны.

3 из 4 в норме

Зарплата не указана: ваша цель, нижняя граница и фраза для первого созвона

Вакансия на английскомПереведёт заголовок и описание вакансии на русский

Чем предстоит заниматься

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

Наши требования

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

Мы предлагаем

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

Дополнительно

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

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