Senior Director (Mobile Platform Engineering)

Join our team as a Senior Director of Mobile Platform Engineering in West Palm Beach. In this role, you will build and lead a world-class Mobile Platform Engineering organization that powers AI-native enterprise experiences across iOS and Android. You will establish an AI-forward engineering culture, deliver scalable mobile platform capabilities, and create a high-performance culture centered on ownership, technical excellence, customer impact, and continuous learning. This is a unique opportunity to create and shape an organization with a real charter, resources, and company-wide impact.

• Construire et diriger une organisation d'ingénierie de plateforme mobile de classe mondiale à West Palm Beach, en recrutant et en développant des talents exceptionnels.
• Établir une culture d'ingénierie axée sur l'IA et livrer des capacités de plateforme mobile évolutives pour des applications d'entreprise sur mesure.
• Définir des cadres réutilisables, des SDK et des modèles de plateforme qui accélèrent le développement d'applications à travers plusieurs équipes de produits.

• Strong technical depth in mobile architecture, APIs, distributed systems, cloud-native services, networking, security, data synchronization, and MAM/MDM enterprise integrations
• 12+ years of software engineering experience with significant experience leading mobile engineering organizations (Android and iOS)
• 3+ years leading engineering managers or multi-team organizations
• Track record building and scaling enterprise-grade mobile applications or mobile platforms used at large scale
• Experience managing Engineering Managers and senior technical leaders
• Ability to translate emerging AI capabilities into practical, secure, enterprise-grade mobile workflows
• Understanding of on-device AI patterns, small language models, speech or vision models, real-time inference constraints, and mobile latency tradeoffs
• Working knowledge of RAG, prompt engineering, agent orchestration, tool use, evaluation frameworks, guardrails, and AI safety principles
• Familiarity with AI platforms and frameworks such as Azure AI, OpenAI, Anthropic, Gemini, LangChain, Semantic Kernel, or comparable ecosystems
• Experience applying AI to engineering productivity, including code generation, test generation, automated review, incident analysis, or quality automation
• Experience building or integrating generative AI, LLM-powered experiences, AI agents, or copilots into mobile or enterprise applications