2 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Product Lead (Analytics & ML)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Product Lead (Analytics & ML) (Mobile SaaS): Building prediction, analytics, and A/B testing products for mobile subscription businesses with an accent on LTV forecasting, revenue intelligence, and trustworthy ML outcomes. Focus on leading a small ML team, improving dashboard speed and accuracy, and deciding how unused ML capabilities should be shipped into customer-facing products.
Location: Remote from anywhere, with the option to work onsite in Belgrade or London
Company
is a mobile SaaS company that helps apps manage in-app purchases and paywalls, powering more than 20,000 apps and processing over $2 billion in annual subscriptions.
What you will do
- Own the connected predictions, analytics, and A/B testing products.
- Lead a small ML team and shape its operating model and hiring plans.
- Define the prediction engineβs forecasts, accuracy standards, and customer validation methods.
- Improve dashboard speed, accuracy, and usability with the product and engineering teams.
- Decide how existing ML capabilities should be implemented in dashboards, experiments, or other products.
Requirements
- Hands-on experience with code or models sufficient to make independent technical decisions.
- Strong mathematics and classical ML knowledge, including model selection, metrics, and forecasting horizons.
- Experience owning and shipping a product and demonstrating measurable outcomes.
- Strong SQL skills and a habit of validating numbers independently.
Culture & Benefits
- Flexible remote work from anywhere or onsite work in Belgrade or London.
- Direct communication, ownership, and low-bureaucracy decision-making.
- Language learning, sports support, health insurance, and laptop coverage.
- Compensation is tied directly to results.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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