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Senior Technical Product Manager - AI Agents, Evals & Reliability

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

bjakcareer seeks a Senior Technical Product Manager for AI Agents, Evals & Reliability based in Singapore to lead the development of proactive smart assistant applications. This hands-on position suits experienced professionals who want to shape reliable AI systems for global users.

Role Overview

This position involves working closely with engineers on system architecture, model evaluation, and product trade-offs. The individual in this role bridges the gap between user needs, system constraints, and model capabilities to deliver dependable AI functionality.

Key Responsibilities

Formulate complete product requirements ranging from user impact to system behavior.
Convert data constraints, evaluation outcomes, and model capabilities into actionable system choices.
Balance performance metrics such as cost, latency, quality, reliability, and user experience.
Collaborate directly with backend, mobile, and machine learning engineers on iteration and design.
Build and improve evaluation frameworks utilizing human feedback, online experiments, and offline metrics.
Manage execution schedules through prioritization and detailed specifications.
Deliver features safely and efficiently with robust feedback mechanisms.
Maintain end-to-end responsibility for user trust, correctness, and predictability.

Requirements

Solid background in computer science principles including system design, data structures, and algorithms.
Functional comprehension of machine learning operations and production AI behavior.
Capability to review, read, and engage with technical design documentation.
Practical background in artificial intelligence applications, specifically large language model systems.
Familiarity with feedback loops, pipeline iterations, and model evaluation.
Understanding of model drift, hallucinations, bias, and operational limitations.
Extended history of managing intricate technical products independently.
Track record of collaborating alongside machine learning specialists and senior engineering staff.
Decision-making skills suited for fast-paced and ambiguous situations.

Nice to Have

Background deploying consumer products heavily reliant on artificial intelligence.
Previous tenure as a software engineer or technical product manager.
History establishing evaluation metrics for machine learning architectures.
Familiarity with AI user experience patterns and error management.
Background working in zero-to-one product development cycles.

Skills and Tools

Large Language Models (LLMs)
Mobile Development
Backend Engineering
Machine Learning Evaluation Frameworks
AI Agent Systems

About the Company

At bjakcareer, the mission centers on developing a proactive smart assistant designed to introduce intelligence into everyday conversations, workflows, and organization for over 5 billion users. The organization operates in small, high-talent density teams that prioritize rapid decision-making, collective autonomy, and hands-on execution.

How to Apply

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

Skills and tech stack

LLMAI Agents

Questions candidates ask

What is the primary mission of the product team at bjakcareer?

The team aims to build a proactive smart assistant that brings intelligence to everyday workflows, conversations, and organization for users while reducing time spent on tasks by over 90%.

Is this a management-only position?

No, this is a deeply technical, hands-on role where the product manager collaborates directly with engineers on system design, trade-offs, and evaluations.

What qualifications are required for the technical foundation?

Candidates need a strong grounding in computer science fundamentals, an understanding of production machine learning systems, and the ability to read and discuss technical design documents.

What does the interview process look like?

The evaluation consists of 3 to 4 interviews conducted via virtual meetings or onsite sessions, handled by technical team members.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site