Machine Learning Lead

About Eneba

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.

About your team

We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba's organization as a data-driven decision-maker by providing a solid data foundation. We want to foster a healthy data culture across the organization and enable our colleagues to have easier access to the necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine-learning models. Data Analysts provide crucial data insights for teams and Data Engineers who build cutting-edge data pipeline solutions.

Responsibilities

• 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.

Nice to Have

• Experience in multi-objective optimization systems balancing multiple KPIs (e.g., user engagement vs. revenue).
• Background in startups or growth-stage environments with rapid iteration cycles.
• Understanding of revenue prediction, personalization, and reinforcement learning loops.

What it’s like to work at Eneba

• 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.

• Please attach CV's in English.
• To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.