Group Product Manager (GenAI Creatives)

Join Moloco as a Group Product Manager for GenAI Creatives. In this role, you will define the vision, strategy, and roadmap for one of Moloco's most strategic AI investments. You will work at the intersection of Generative AI, machine learning, experimentation, creative intelligence, and advertising performance. This is a highly ambiguous, 0-to-1 opportunity that requires strong product judgment, technical curiosity, and the ability to create clarity in an emerging space. You will partner closely with engineering and machine learning teams, drive product discovery, influence stakeholders, and help define how Moloco brings AI-powered creative optimization to market.

• Definir y dirigir la estrategia del producto para la generación, optimización y aprendizaje de creatividades impulsadas por IA.
• Colaborar estrechamente con los equipos de ingeniería y aprendizaje automático para traducir las capacidades técnicas emergentes en un valor diferenciado para el cliente.
• Utilizar información del cliente, experimentación, intuición de producto y señales del mercado para identificar oportunidades y guiar decisiones de inversión.
• The ideal candidate thrives in ambiguity and enjoys tackling problems that do not yet have established solutions. This is not a maintenance or optimization-focused PM role. Success will require creating structure where there is limited data, forming conviction without overfitting to incomplete signals, and helping the organization make high-quality decisions in a rapidly evolving technological landscape
• You have strong product fundamentals, including customer obsession, prioritization, experimentation, metric design, decision making, and end-to-end ownership
• You are excited by the challenge of balancing customer needs, business outcomes, and emerging AI capabilities in areas where there is often no obvious right answer
• You have experience building products in technically complex domains, working closely with engineering, machine learning, or data science teams to translate emerging capabilities into customer value
• You have experience partnering with go-to-market teams to shape product narratives, customer education, proof-of-concepts, feedback loops, and adoption strategies
• You have a track record of leading 0-to-1 or highly ambiguous product initiatives where the problem space, customer needs, or technical capabilities were still emerging
• You can develop a strong point of view on product strategy and communicate it effectively to diverse stakeholders, including senior leaders and highly technical teams
• You are energized by rapid learning and enjoy exploring new technologies, customer behaviors, and market opportunities
• You have led strategic initiatives across multiple teams and stakeholders, building alignment and momentum even when priorities, incentives, or data were not fully aligned
• You have strong customer instincts and can deeply understand user workflows, motivations, and pain points, even in unfamiliar domains
• You use data, research, customer feedback, and product judgment to make decisions, while recognizing that not every important decision can wait for perfect evidence
• You can balance long-term vision with pragmatic execution, making progress in uncertain environments while continuously refining strategy based on new learnings
• You are comfortable creating clarity and direction when there is limited data, incomplete information, or no established playbook
• You do not need prior adtech experience to be successful in this role. We are looking for product leaders who can learn quickly, reason rigorously, and help define the future of AI-powered creative optimization
• Experience building AI-powered products, particularly Generative AI, machine learning, or recommendation systems
• Experience with creative tools, content creation workflows, visual intelligence, or multimodal AI systems
• Experience designing experimentation, measurement, or optimization systems
• Experience in advertising, marketing technology, marketplaces, search, recommendation, or other data-driven decision systems