Latest AI JobsBrowse Jobs
bjakcareer logo

Product Lead, AI Email App

bjakcareerSeoul, KoreaActAI Engineering
Apply on company site
Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

bjakcareer seeks a Product Lead, AI Email App in Seoul, Korea to direct the development of proactive applications for global users without complex prompting. This hands-on technical position suits a professional with deep experience in AI-powered products who wants to shape intelligent workflows and reliable task completion.

Role Overview

bjakcareer hires a Product Lead, AI Email App based in Seoul, Korea to build AI-native communication and workflow tools. The role sits at the intersection of user needs, machine learning capabilities, and engineering constraints. This position requires close collaboration with engineering teams to define system behavior, establish measurement frameworks, and drive continuous product improvement.

Key Responsibilities

Define end-to-end requirements for AI capabilities, encompassing model behavior, system performance, and user experience.
Translate model evaluation results, technical constraints, and capabilities into clear product decisions.
Balance trade-offs across quality, cost, latency, reliability, safety, and user experience.
Collaborate closely with backend, machine learning, and client engineers on system iteration, design, and evaluation.
Establish evaluation frameworks spanning offline metrics, human feedback, and online experiments.
Set quality bars and feedback loops for experiences powered by artificial intelligence.
Drive execution through prioritization, specifications, and technical judgment.
Identify system failure modes to ensure predictable behavior and graceful recovery.
Own end-to-end product reliability, correctness, usefulness, and user trust.

Requirements

Possess strong computer science fundamentals along with system design skills.
Demonstrate a solid understanding of modern machine learning and production AI system behavior.
Read technical designs, understand architectures, and engage deeply with engineers.
Exhibit intuition regarding model limitations, hallucinations, evaluation metrics, and failure modes.
Bring significant experience owning complex, technical products from inception to completion.
Show hands-on experience working with AI-powered products, specifically LLM-based systems.
Apply experience in model evaluation, prompting, experimentation, or AI system iteration.
Translate ambiguous problems into clear requirements, measurable outcomes, and executable plans.
Make strategic decisions when correct answers are not obvious.

Nice to Have

Experience shipping AI-heavy consumer products.
Background as a software 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 (ML)
Large Language Models (LLMs)
System Design
Model Evaluation
Prompting

About the Company

bjakcareer operates as a small, high-talent-density, hands-on team focused on building proactive applications for global users who do not rely on complex prompting. The organization values broad ownership, independent execution, strong judgment, and fast decision-making over rigid processes.

How to Apply

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

Skills and tech stack

Questions candidates ask

What is the location of the Product Lead, AI Email App position?

The position is located in Seoul, Korea.

What type of role is this?

This is a deeply technical, hands-on product leadership role focused on AI-powered email and workflow applications.

What qualifications are helpful for this job?

An engineering background or experience as a technical product manager is a strong plus, along with experience shipping AI-heavy consumer products and defining evaluation metrics for ML systems.

What does the interview process involve?

The process consists of three to four interviews conducted via virtual meetings and/or onsite sessions, evaluated by technical team members.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site