Technical Product Manager

About the Role

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations

Our objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things

As Technical Product Manager, AI Systems, you work at the intersection of user needs, model capability, and engineering constraints. You will work directly with ML and engineering teams to define how the system should behave, how we measure it, and how we continuously improve it.

This is a deeply technical, hands-on role. You are expected to understand the system and challenge technical decisions.

What You'll Own

• Define end-to-end requirements for AI capabilities, from model behavior to system behavior to user experience.

• Translate model capabilities, evaluation results, and technical constraints into clear product and system decisions.

• Make trade-offs across quality, latency, cost, reliability, safety, and UX.

• Work closely with ML, backend, and client engineers on system design, evaluation, and iteration.

• Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback.

• Establish clear quality bars and feedback loops for AI-powered experiences.

• Drive execution through clear specifications, prioritization, and strong technical judgment.

• Identify failure modes and ensure AI systems behave predictably and recover gracefully.

• Own product quality end-to-end, correctness, reliability, usefulness, and user trust.

What We're Looking For

Technical

• Strong computer science fundamentals and system design skills.

• Solid understanding of modern ML and how AI systems behave in production.

• Comfortable reading tech