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Product Lead, AI Email App

bjakcareerSingaporeActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

Based in Singapore, the Product Lead, AI Email App position at bjakcareer is a hands-on leadership role suited for a technical professional looking to build proactive, AI-native applications for global users. The app focuses on long-running workflows, persistent context, and real-world task completion with minimal prompting.

Role Overview

This is a deeply technical, hands-on role operating at the intersection of user needs, model capability, and engineering constraints. The position involves working directly with machine learning and engineering teams to define system behavior, establish measurement criteria, and drive continuous improvement for an AI email product.

Key Responsibilities

Define end-to-end requirements for AI capabilities, spanning model behavior, system behavior, and 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 user experience.
Collaborate closely with machine learning, backend, and client engineers on system design, evaluation, and iteration.
Define and evolve evaluation frameworks utilizing offline metrics, online experiments, and human feedback.
Establish clear quality bars and feedback loops for AI-driven experiences.
Drive execution through clear specifications, prioritization, and technical judgment.
Identify failure modes to ensure AI systems behave predictably and recover gracefully.
Own product quality end-to-end, covering correctness, reliability, usefulness, and user trust.

Requirements

Possess strong computer science fundamentals and system design skills.
Demonstrate a solid understanding of modern machine learning and production AI system behavior.
Feel comfortable reading technical designs, understanding architectures, and engaging deeply with engineers.
Bring strong intuition regarding model limitations, hallucinations, evaluation, and failure modes.
Have significant experience owning complex, technical products end-to-end.
Display hands-on experience with AI-powered products, specifically large language model-based systems.
Show experience with model evaluation, experimentation, prompting, or AI system iteration.
Ability to transform ambiguous problems into clear requirements, measurable outcomes, and executable plans.
Apply strong judgment to make decisions when the correct answer is not immediately obvious.
Maintain a strong bias toward shipping, experimentation, and learning from real-world usage.

Nice to Have

Experience shipping artificial intelligence-heavy consumer products.
Background as an engineer or highly technical product manager.
Experience defining evaluation metrics for machine learning systems.
Strong intuition for artificial intelligence user experience patterns and failure handling.
Prior experience working in zero-to-one product environments.

Skills and Tools

Machine learning systems and model evaluation
Large language model-based systems and prompting
System design and software architecture
Product management and roadmap execution

About the Company

bjakcareer operates as a small, high-talent-density, hands-on team where engineers and product leaders maintain broad ownership. The organization values independent execution, rapid decision-making, and strong engineering fundamentals over heavy processes.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

LLMMachine Learning

Questions candidates ask

Where is the Product Lead, AI Email App position located?

The position is located in Singapore.

What type of experience is required for this role?

The role requires significant experience owning complex, technical products end-to-end, hands-on experience with LLM-based systems, and a solid understanding of modern machine learning.

What are the core technical responsibilities?

Responsibilities include defining end-to-end requirements for AI capabilities, making trade-offs across quality, latency, cost, and reliability, defining evaluation frameworks, and owning product quality end-to-end.

Is an engineering background mandatory?

While an engineering background is noted as a strong plus, the primary requirement is the ability to reason deeply about both AI systems and product outcomes.

How many interview rounds can candidates expect?

Candidates who fit the criteria can expect three, but no more than four, interview rounds.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site