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Technical Product Manager, AI Systems

bjakcareerChinaActAI 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 China, the Technical Product Manager, AI Systems role at bjakcareer involves building proactive smart assistants for everyday users and suits professionals with strong technical foundations in artificial intelligence. This hands-on position requires close collaboration with engineering teams to shape reliable, long-running AI workflows and real-world task completion systems.

Role Overview

The Technical Product Manager, AI Systems position is a hands-on opportunity located in China. The professional in this role operates at the intersection of user needs, model capabilities, and system constraints. The main objective is translating artificial intelligence potential into dependable, predictable behavior for everyday consumer applications.

Key Responsibilities

Research and formulate end-to-end system requirements covering capabilities, user impact, and behavior.
Translate data constraints, evaluation results, and model capabilities into product and system decisions.
Balance difficult trade-offs involving cost, quality, latency, user experience, and reliability.
Partner directly with mobile, backend, and machine learning engineers on iteration, evaluation, and system design.
Develop and improve evaluation frameworks incorporating offline metrics, human feedback, and online experiments.
Drive execution through disciplined prioritization, clear specifications, and strong judgment.
Deliver systems safely, quickly, and reliably backed by effective feedback loops.
Maintain end-to-end product quality focusing on correctness, user trust, and predictability.

Requirements

Strong background in computer science principles, system design, data structures, and algorithms.
Solid comprehension of machine learning basics and production behavior for modern artificial intelligence systems.
Ability to review, discuss, and read technical design documentation.
Practical exposure to applications powered by artificial intelligence, including systems built on large language models.
Background handling model evaluation, feedback loops, and pipeline or prompt iteration.
Clear intuition regarding model limitations, hallucinations, drift, and bias.
Demonstrated history of taking complex, technical products from conception to completion.
Proven capacity to collaborate effectively with machine learning professionals and senior engineers.
Sound judgment and decision-making skills within fast-paced, ambiguous conditions.
Capability to match ambition with operational and technical constraints.

Nice to Have

Background releasing consumer goods heavily reliant on artificial intelligence.
Prior experience working as an engineer or a highly technical product manager.
History establishing evaluation metrics specifically for machine learning systems.
Strong understanding of failure handling and user experience patterns for artificial intelligence.
Previous background operating within zero-to-one product settings.

Skills and Tools

Large Language Models
Machine Learning Evaluation
Prompt Iteration
Pipeline Iteration
System Design

About the Company

The organization builds proactive smart assistants designed to bring intelligence to everyday conversations, errands, workflows, and organizing for a global user base. Operating as a small, high-talent-density team, the company focuses on rapid execution, collective decision-making, and balancing work quality with continuous learning.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

LLMMachine LearningMobileBackend

Questions candidates ask

Where is the Technical Product Manager, AI Systems position located?

The position is located in China.

What is the primary focus of the product being built?

The product focuses on creating a proactive smart assistant for everyday users to handle conversations, workflows, errands, and organizing with minimal prompting, while achieving high reliability for long-running workflows.

What engineering teams will the product manager work with?

The product manager will work closely with machine learning, backend, and mobile engineers.

What does the interview process consist of?

The interview process involves between three and four interviews conducted via virtual meetings or onsite, evaluated by technical team members.

Is prior experience with large language models required?

Yes, candidates need hands-on exposure to AI-powered products, including systems based on large language models.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site