Product Lead, AI Email App

Triwill Group; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Triwill Group is seeking an experienced Product Manager to own AI-powered product initiatives, focusing on reliability, user trust, and real-world task completion. You will collaborate with ML, backend, and client engineers to translate model capabilities into concrete product decisions and measurable outcomes.

Applicants should have a solid background in AI systems, strong CS fundamentals, and a bias toward shipping in a fast-moving environment.

Qualifications

• Strong CS fundamentals and system design skills.
• Solid understanding of modern ML and AI systems in production.
• Ability to read technical designs and engage with engineers.
• Good intuition for model limitations, evaluation, and failure modes.
• Experience turning model capabilities into clear product decisions.

Responsibilities

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

Skills

CS fundamentals

System design

ML in production

Reading designs

Model limitations

Evaluation & failure modes

UX-focused thinking

Deep technical intuition

Job description

Description: 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.

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.

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.