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. 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 are seeking an independent board director with deep experience operating ML-driven products and data platforms at scale. This is a non-executive board position, not an operating role. 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 mission of this role is to strengthen the board’s ability to guide the company in building a world-class data and machine learning organization. The director will contribute a perspective on: * Structuring and scaling data science teams * Designing experimentation-driven product cultures * Building high-quality data platforms and infrastructure * Integrating ML systems into business decision processes * Best practices for data-driven product development * Organizational structures that allow ML systems to improve continuously
Board members are expected to: * Participate in quarterly board meetings * Provide independent strategic guidance to the CEO and leadership team * Contribute to discussions around data platform strategy and ML-driven product development * Provide perspective on organizational structure for data science and ML teams * Help evaluate major technical and infrastructure investments * Share insight from companies where ML directly drives business outcomes * Board members are not involved in day-to-day operations.
We are looking for a technology or product leader who has built ML-driven product organizations where data science plays a central role in revenue generation and product optimization. Prior board experience is welcome but not required.
