Senior Director (Mobile Platform Engineering)

• Build and lead a world-class Mobile Platform Engineering organization in West Palm Beach that powers AI-native enterprise experiences across iOS and Android
• This leader will hire exceptional mobile and AI talent, establish an AI-forward engineering culture, and deliver scalable mobile platform capabilities for purpose-built enterprise applications
• Establish and grow the Mobile Platform Engineering organization in West Palm Beach as a strategic hub for mobile and AI innovation
• Recruit, develop, and retain excellent AI, Android, iOS, and mobile platform engineering talent
• Embed AI-assisted development, automated quality systems, agentic workflows, and rapid experimentation into day-to-day engineering practices
• Create a high-performance culture centered on ownership, technical excellence, customer impact, and continuous learning
• Own the technical roadmap for enterprise mobile platform capabilities across Android and iOS
• Establish and run on-call rotations, incident response processes, and a blameless postmortem culture that drives reliability improvements
• Define reusable frameworks, SDKs, and platform patterns that accelerate application development across multiple product teams
• Partner with Product, Design, AI, Infrastructure, and Business leaders to deliver differentiated mobile experiences
• Drive excellence in performance, reliability, security, scalability, and operational rigor across the mobile platform
• Design mobile platform capabilities for purpose-built enterprise applications across customer service, field service, operations, and productivity workflows
• Lead architecture for synchronization, offline-first experiences, notifications, inbox experiences, real-time interactions, and workflow execution
• Ensure applications perform reliably in low-connectivity and offline environments while meeting enterprise-grade security, privacy, and compliance requirements
• Create seamless experiences across mobile clients, AI services, platform capabilities, and enterprise workflows
• Lead critical architecture reviews and complex technical decisions across mobile, platform integration, and application layers
• Own the mobile build and delivery pipeline, including CI/CD reliability, build speed and test infrastructure
• Establish standards for observability, telemetry, mobile performance benchmarking, release quality, and production readiness
• Mentor Engineering Managers, Staff Engineers, Principal Engineers, and senior technical contributors
• Advance mobile innovation through AI-enabled workflows, modern development practices, and strong engineering fundamentals
• Engineering leadership roles that let you build a site from scratch — with a real charter, real resources, and real company-wide impact — are rare at any scale. This isn’t a “manage the org” role. It’s a “create the org” role

Benefits

• Generous family leave
• Matched donations
• Annual learning stipends
• Flexible PTO
• Competitive retirement plan
• Paid volunteer time- 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