Director, AI Platform - Product Management (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, AI Platform - Product Management in the United States.

The Director of AI Platform will lead the vision, strategy, and execution of a next-generation AI platform designed to power intelligent, context-aware retail solutions. This role bridges AI research, engineering, and business strategy, focusing on ontology-driven architectures, retrieval-augmented generation (RAG) pipelines, and advanced reasoning frameworks. You will define the platform roadmap, enable scalable and explainable AI systems, and support developers and partners in building innovative applications. The position emphasizes cross-functional collaboration, enterprise-grade scalability, and measurable impact, allowing you to shape the future of AI-powered retail solutions. This is a highly visible leadership role, ideal for a product leader passionate about AI, knowledge systems, and developer-focused platforms.

Accountabilities:

• Define and evolve the AI platform strategy to support scalable, enterprise-grade retail solutions.
• Lead the end-to-end platform roadmap, prioritizing AI/ML services, developer tools, workflow automation, notifications, and data hub services.
• Collaborate with engineering to design modular, extensible architectures for rapid application development.
• Build and nurture a developer ecosystem with APIs, SDKs, low-code tools, and solution accelerators.
• Embed platform capabilities into retail applications including merchandising, supply chain, store operations, and customer engagement.
• Track and communicate platform adoption metrics, ROI, and developer satisfaction to stakeholders.
• Drive operational excellence in AI lifecycle management, monitoring, compliance, and continuous learning.

• 8+ years of experience in product management or platform leadership, including 3+ years in AI/ML, knowledge systems, or data platforms.
• Proven experience with ontology-based architectures, knowledge graphs, or semantic data models.
• Deep understanding of RAG pipelines, vector databases, retrieval systems, and LLM integrations.
• Strong technical fluency to engage with engineering and research teams on embeddings, reasoning logic, and evaluation metrics.
• Demonstrated success launching or scaling AI-powered platforms or products in enterprise environments.
• Excellent leadership, communication, and stakeholder management skills.
• Preferred: Advanced degree in Computer Science, AI, Cognitive Science, or related field.
• Familiarity with AI orchestration frameworks such as LangChain or LlamaIndex is a plus.
• Experience with enterprise knowledge management, retail analytics, or decision intelligence tools is advantageous.