Director, Mobile Platform Engineering

About The Role

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.

Build an AI-Native Engineering Culture in West Palm Beach

• 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.

Lead Mobile Platform Strategy and Execution

• 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.

Architect Enterprise Mobile Experiences

• 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.

Provide Technical Leadership

• 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.

Why This Role

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. For leaders who want to leave a mark on both the product and the people who build it, this is the opportunity.

Qualifications

• 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.
• Strong technical depth in mobile architecture, APIs, distributed systems, cloud-native services, networking, security, data synchronization, and MAM/MDM enterprise integrations.
• Track record building and scaling enterprise-grade mobile applications or mobile platforms used at large scale.
• Experience managing Engineering Managers and senior technical leaders.

Specific AI Skills We Value

• Experience building or integrating generative AI, LLM-powered experiences, AI agents, or copilots into mobile or enterprise applications.
• 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.
• Understanding of on-device AI patterns, small language models, speech or vision models, real-time inference constraints, and mobile latency tradeoffs.
• Experience applying AI to engineering productivity, including code generation, test generation, automated review, incident analysis, or quality automation.
• Ability to translate emerging AI capabilities into practical, secure, enterprise-grade mobile workflows.