As a part of the Landmark Group, a renowned retail and hospitality conglomerate in the Middle East, North Africa, and India, Landmark Digital is the dynamic digital arm of Landmark Retail, serving as the cornerstone of our omnichannel business strategy. Headquartered in Dubai, UAE, we oversee the digital operations of eight leading brands across diverse geographies, with ambitious plans for expansion into new territories and functions. Joining us means becoming a vital part of the Middle East's most significant bricks-to-clicks success story, boasting an impressive year-on-year growth rate exceeding 100%. Comprising a talented workforce of over 500 professionals across diverse domains, Landmark Digital spearheads various functions including Enterprise and E-commerce Tech, Product Management, User Design, and MarTech, among others. With our futuristic outlook, we are committed to delivering seamless digital experiences to our customers. At Landmark Digital, we cultivate an agile work culture, empowering you to make impactful decisions from day one within collaborative squads comprising professionals from over 20 nationalities. Additionally, our dedicated software development center in Bangalore, India, offers opportunities for incubation, design, and optimization of digital products. Working at Landmark Digital means engaging with cutting-edge technologies, including Enterprise and E-commerce tech, headless commerce, Java Spring Boot, React Native, React frontend, and Azure Cloud solutions, providing an enriching environment for professional growth and development. In addition to competitive remuneration and benefits, we prioritize continuous learning and growth through dedicated training and upskilling initiatives. Furthermore, our vibrant workplace culture fosters camaraderie through various team events, celebrations, and recreational amenities, ensuring a fulfilling experience both personally and professionally. Come be a part of Landmark Digital, where innovation, collaboration, and growth converge to redefine the digital retail landscape Job Description We are seeking a Senior Product Manager with a strong AI/ML background to lead the development and scaling of our Digital products by leveraging AI. This is a high-impact role that blends deep technical understanding product leadership, aimed at building foundational practices and expanding our AI ecosystem across teams • Lead end-to-end product development, from concept to execution and scaling. • Establish and standardize best practices for product development and lifecycle management. • Drive adoption and scalability of the AI ecosystem across internal teams and business units. • Define product vision, roadmap, and success metrics for AI/ML-driven features. • Collaborate closely with engineering, data science, and design teams to build innovative AI/ML solutions. • Translate complex technical concepts into user-centric product experiences. • Stay on top of AI/ML trends and technologies to continuously enhance product capabilities Knowledge, Skills & Experience Job Experience • 8–10 years of overall experience, including: • A strong foundation as an engineer or technical contributor • At least 2+ years in a product role focused on AI/ML • Proven track record of launching and scaling AI-powered products • Deep understanding of machine learning concepts, data pipelines, and model deployment • Background in Computer Science, Engineering, Data Science, or related fields • Experience in building platforms or tools that empower other teams (AI-as-a-service mindset) • Experience in retail sectors such as fashion, lifestyle, or home, as well as eCommerce products, will be considered an added advantage • Familiarity with AI ethics, model interpretability, and responsible AI frameworks • Previous experience in a startup or high-growth tech environment is a plus Required Leadership Skills • Strong cross-functional leadership and stakeholder management skills • Ability to work in fast-paced, ambiguous environments and drive clarity • Excellent communication and storytelling abilities, especially when explaining AI concepts to non-technical stakeholders