AI Phone - Product Lead

Description

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: AI-native phone experience, user workflows and product direction.

Responsibilities

• Define the overall product experience for the AI-native phone.

• Identify high-value everyday workflows where AI can meaningfully improve the user experience.

• Define how users should interact with AI across the OS and different applications.

• Identify opportunities for proactive assistance and contextual interactions.

• Translate product ideas into clear requirements for engineering.

• Work closely with Android and AI teams to evaluate technical feasibility.

• Prioritize product capabilities for the first prototype and eventual launch.

• Conduct user research and validate interaction patterns.

• Ensure that AI capabilities feel natural and effortless rather than requiring users to learn entirely new interaction patterns.

Requirements

• Strong product management experience, ideally with consumer mobile or platform products.

• Experience building and launching products from early stages.

• Strong understanding of mobile UX and user behavior.

• Ability to translate ambiguous product ideas into concrete requirements.

• Strong technical understanding and ability to work closely with engineers.

• Good product judgment and prioritization skills.

Nice to have

• Experience with AI assistants, agentic products or productivity applications.

• Experience with operating systems or mobile ecosystems.

• Experience with voice interfaces and proactive experiences.

• Experience with consumer applications at scale.

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