Director, Mobile Platform Engineering

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, Service Now is the AI control tower for business reinvention. Our Service Now AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better.

We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Lead a world-class Mobile Platform Engineering organization at Service Now 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.

• 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.

• 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.

• 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,Lang Chain, 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.

For positions in this location, we offer a base pay of $199,900-$348,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE)…