AI Phone - Security & Privacy Engineer

About this role

About We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence. There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting.

Focus: Designing and implementing the security and privacy architecture for the AI-native phone, ensuring AI agents can safely access user data, interact with applications, and execute actions across the operating system. Unlike conventional mobile application security, this role needs to consider the additional risks introduced by AI agents having access to personal context, system services, and application-level actions.

Responsibilities Design the overall security and privacy architecture for the AI-native phone. Define permission models and access boundaries for AI agents interacting with user data and system services. Design secure mechanisms for AI access to messages, contacts, calendars, notifications, camera, microphone, location and other sensitive information. Implement appropriate sandboxing and isolation for agent execution.

Define authentication, authorization and access-control mechanisms for AI tools and application integrations. Ensure users have control over what information AI can access and what actions it can execute. Implement audit logging and user-visible activity tracking for AI access and actions. Design secure storage, encryption, data retention and deletion mechanisms for personal data and memory. Identify and mitigate AI-specific security risks, including prompt injection, malicious applications, data exfiltration and unauthorized tool execution.

Review Android permission models, privileged system access, SELinux policies and system-level security boundaries. Work closely with Android/AOSP, Agent Runtime, Context & Memory and Applied ML teams to ensure security is built into the architecture rather than added later. Conduct security assessments, threat modeling and penetration testing for system-level AI capabilities. Requirements Strong experience in mobile security, Android security, application security or systems security.