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AI Phone - Product Lead

Bjak

United Kingdom Full-time Posted 3d ago

About the 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:

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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