Independent Board Director (ML-Driven Product & Data Platform Leader)

Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers. Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry. Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors. Enjoying the Journey: We believe in having fun while working toward our goals. We are seeking an independent board director with deep experience operating ML-driven products and data platforms at scale. This role is not focused on academic research or algorithm development. Instead, we are looking for a leader who has built organizations where data, experimentation, and machine learning directly drive product decisions, optimization, and revenue growth. The ideal candidate brings expertise in areas such as: building strong data science organizations; designing data platforms and experimentation infrastructure; integrating ML into product decision loops; developing operating cultures built around data and experimentation; This is a non-executive board position, not an operating role. Appodeal is building a performance-driven technology platform powered by data and machine learning. Our systems rely on: large-scale data pipelines; real-time decision systems; automated optimization; experimentation and model iteration.