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About the Role

As a Technical Product Manager, AI Systems, you will work at the intersection of user needs, model capability, and engineering constraints. You will collaborate directly with ML and engineering teams to define system behavior, measurement strategies, and continuous improvement processes. This is a deeply technical, hands-on role requiring understanding of the system and the ability to challenge technical decisions.

Responsibilities

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.

Requirements

Strong computer science fundamentals and system design skills.
Solid understanding of modern ML and how AI systems behave in production.
Comfortable reading technical designs, understanding architectures, and engaging deeply with engineers.
Strong intuition for model limitations, hallucinations, evaluation, and failure modes.
Significant experience owning complex, technical products end-to-end.
Hands-on experience with AI-powered products, particularly LLM-based systems.
Experience with model evaluation, experimentation, prompting, or AI system iteration.
Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans.
Strong judgment and the ability to make decisions when the right answer is not obvious.
Highly technical, curious, and comfortable going deep.
Strong bias toward shipping, experimentation, and learning from real-world usage.
Able to challenge engineers and researchers constructively while maintaining strong collaboration.
Comfortable operating with significant ownership in a fast-moving, zero-to-one environment.
Experience shipping AI-heavy consumer products.
Background as an engineer or highly technical product manager.
Experience defining evaluation metrics for ML systems.
Strong intuition for AI UX patterns and failure handling.
Prior experience in zero-to-one product environments.
An engineering background is a strong plus, but what matters most is the ability to reason deeply about both AI systems and product outcomes.

Skills

AI systems
ML
LLM-based systems
Model evaluation
Experimentation
Prompting
AI system iteration
System design
Product strategy
AI UX patterns

Experience Level

Significant experience owning complex, technical products end-to-end
Hands-on experience with AI-powered products
Experience with model evaluation, experimentation, prompting, or AI system iteration
Experience shipping AI-heavy consumer products
Background as an engineer or highly technical product manager
Experience defining evaluation metrics for ML systems
Prior experience in zero-to-one product environments

About the Company

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.
We are a small, high-talent-density, hands-on team.
Engineers and product leaders have broad ownership and are expected to exercise strong judgment and execute independently.
We make decisions quickly, work closely together, and balance speed with engineering fundamentals.
We care less about process and more about building something exceptional.

Equal Opportunity

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.
Applications are evaluated by our technical team members.
Interviews will be conducted via virtual meetings and/or onsite.
We value transparency and efficiency, so expect a prompt decision.
If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us.
This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.