Product Lead, Analytics, ML

🕒 August 31

🇷🇸 Serbia – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Adapty.io

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🤝 B2B

💰 $2M Seed Round - Adapty on 2022-03

SaaS • B2B

Adapty is a revenue management platform for in-app purchases and mobile subscriptions. It provides developer SDKs (iOS, Android, React Native, Flutter, Unity, etc. ), a no-code paywall and flow builder, A/B testing, revenue and LTV analytics, refund reduction tools, integrations with analytics and payment systems, and web-to-app funnels. Adapty helps developers, marketers, and app owners integrate and manage subscriptions quickly without server code, optimize paywalls and pricing, run experiments, and sync purchase events to other services. It targets indie apps, startups, publishers, and enterprises and emphasizes high reliability, SOC2-level security, and customer support.

📋 Description

• Own Predictions, Analytics, and A/B testing as three connected products • Lead and prioritize work for a small ML team, including hiring decisions • Define the prediction engine's forecasts, accuracy standards, and customer validation methods • Diagnose and improve slow and imperfect dashboards with the team • Decide how and where existing ML capabilities should be integrated into products, or whether to use them • Build accurate revenue and LTV prediction capabilities for mobile subscription apps

🎯 Requirements

• Hands-on experience with code or models sufficient to make technical decisions independently • Strong mathematics and classical machine learning knowledge • Ability to evaluate model choice, metrics, and prediction horizons • Experience owning a product and demonstrating shipped outcomes and impact • SQL proficiency • Habit of independently checking numbers

🏖️ Benefits

• Exceptional compensation directly tied to your results • Flexible remote work • Option to work onsite in Belgrade or London offices • Language learning • Sports benefits • Health insurance • Laptop coverage