Machine Learning Lead

November 12

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Eneba

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eCommerce • Gaming • Marketplace

Eneba is an online platform that offers a wide range of video games, gaming-related eCards, and gift cards. Users can easily purchase cheap games for various platforms, including PC and gaming consoles, and benefit from personalized game deals through a loyalty program. Eneba also provides an opportunity for businesses to sell their products on the platform, creating a marketplace for gamers and developers.

201 - 500 employees

Founded 2018

🛍️ eCommerce

🎮 Gaming

🏪 Marketplace

📋 Description

• Translate complex ML insights into clear, actionable business outcomes that impact ARPU, retention, and monetization. • Lead a team of ML engineers to build scalable, production-ready systems. • Design, deploy, and iterate on machine learning models powering real-time inventory and personalization. • Collaborate cross-functionally with engineering, product, and growth teams to align experimentation with business goals. • Make strategic trade-offs between scalability, system quality, and time-to-impact. • Drive continuous process improvements to enhance data automation, speed of iteration, and experimentation culture.

🎯 Requirements

• 4+ years of experience in applied machine learning or data systems, with a strong focus on product delivery and experimentation. • 2+ years of experience in adtech, gaming, or personalization-focused domains is preferable. • Leadership experience managing teams of 3+ engineers in agile, high-velocity environments. • Deep knowledge of ML systems design, experimentation frameworks, metrics definition, and real-time data pipelines. • Strong business fluency — understands monetization, retention, ARPU, and growth loops. • Hybrid mindset: hands-on technical architect + product strategist. • Excellent communication skills — capable of translating technical complexity into business impact. • Dealbreaker: Pure research or infrastructure profiles with no product-market fit or product exposure.

🏖️ Benefits

• Opportunity to join our Employee Stock Options program. • Opportunity to help scale a unique product. • Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. • Paid volunteering opportunities. • Work location of your choice: office, remote, opportunity to work and travel. • Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.