Product Lead, AI Email App

ActAI; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

ActAI is seeking a Product Lead, AI Email App, to join a deeply technical, hands-on team. You will bridge user needs, model capability, and engineering constraints, defining system behavior, evaluation methods, and continuous improvement with ML and engineering teams.

You will own product quality end-to-end, drive architectural decisions, and help ship AI-powered experiences with a focus on reliability, low latency, and user trust.

Qualifications

• Strong CS fundamentals and system design skills.
• Solid understanding of modern ML and how AI systems behave in production.
• Comfortable reading technical designs, architectures, and engaging 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, especially 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 decide when the right answer isn’t obvious.

Responsibilities

• Define end-to-end requirements for AI capabilities and system behavior.
• Translate model capabilities and constraints into clear product decisions.
• Balance quality, latency, cost, reliability, safety, and UX.
• Collaborate with ML, backend, and client engineers on design and evaluation.
• Define and evolve evaluation frameworks across metrics and experiments.
• Establish quality bars and feedback loops for AI-powered experiences.
• Drive execution with clear specs, prioritization, and technical judgment.
• Identify failure modes and ensure predictable, recoverable AI systems.
• Own product quality end-to-end, ensuring usefulness and trust.

Skills

CS fundamentals

System design

ML in production

Reading technical designs

Model evaluation

Experimentation

AI system iteration

Ownership

Decision making

Shipping mindset

Education

Engineering background

Job description

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 Product Lead, AI Email App, 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.

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 Product Lead, AI Email App, 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 technical designs, understanding architectures, and engaging deeply with engineers.
• Strong intuition for model limitations, hallucinations, evaluation, and failure modes.

Product & AI

• 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.

Mindset

• 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.

Nice to have

• 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.

Outcomes

• Product strategy clearly aligns AI capabilities with user needs and company priorities.
• AI features deliver real value, are understandable, predictable, and trusted by users.
• Decisions balance quality, speed, cost, and reliability effectively under uncertainty.
• Roadmaps and priorities are clear, with fast iteration based on real user feedback.
• Teams are aligned, focused, and able to execute on AI product goals with minimal friction.

How We Work

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.

Interview process

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.