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Technical Product Manager, AI Systems

bjakcareerIndonesiaActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
28 Sept 2026
Status
Open · checked 8d ago

About this role

This role suits an experienced, hands-on product professional who wants to shape proactive AI assistant systems in Indonesia. The Technical Product Manager, AI Systems position at bjakcareer involves bridging user needs with model capabilities to build reliable, everyday intelligent workflows.

Role Overview

The Technical Product Manager, AI Systems position is based in Indonesia with bjakcareer. This hands-on role sits at the intersection of user requirements, model constraints, and system performance. The position focuses on guiding the development of proactive smart assistants that handle multi-step reasoning and real-world task completion with minimal user prompting.

Key Responsibilities

Research and define end-to-end system specifications covering capability, behavior, and user impact.
Translate data constraints, evaluation outcomes, and model capabilities into actionable product choices.
Balance competing factors such as cost, latency, quality, reliability, and user experience.
Collaborate directly with mobile, backend, and machine learning engineers on architecture, iteration, and system design.
Build and refine evaluation methods spanning online experiments, offline metrics, and human feedback loops.
Guide execution using clear documentation, sound judgment, and strict prioritization.
Ship systems securely and rapidly while maintaining robust feedback loops.
Manage overall product quality, ensuring correctness, user trust, and predictability.

Requirements

Strong background in computer science basics, covering data structures, system design, and algorithms.
Solid comprehension of machine learning principles and the behavior of production AI systems.
Ability to read, discuss, and review technical design documents.
Hands-on background with LLM-driven systems and AI-powered goods.
Practical experience handling pipeline iteration, model evaluation, and feedback loops.
Deep understanding of model drift, hallucinations, biases, and limitations.
Extensive background in managing complex technical offerings from inception to completion.
Demonstrated capability to partner effectively with machine learning professionals and senior engineers.
Sound decision-making skills suited for ambiguous and fast-paced environments.
Skill in balancing ambitious goals with operational and technical realities.

Nice to Have

Background shipping consumer-facing products heavily reliant on artificial intelligence.
Previous experience working as a software engineer or a highly technical product manager.
History of establishing evaluation metrics for machine learning architectures.
Strong familiarity with failure handling and AI user experience patterns.
Past involvement in zero-to-one product development cycles.

Skills and Tools

Large Language Models (LLMs)
Machine Learning Evaluation Frameworks
System Design
Mobile and Backend Integration
Offline and Online Metrics

About the Company

bjakcareer develops proactive smart assistants aimed at everyday users to bring intelligence into daily workflows, conversations, and errands. The organization operates as a high-talent-density, hands-on team that values rapid execution, collective decision-making, and structural clarity.

How to Apply

Interested candidates should visit the official company careers page to submit an application.

Skills and tech stack

LLMMachine Learning

Questions candidates ask

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

The position is located in Indonesia.

What type of experience is required for this position?

Candidates need a strong technical foundation in computer science and machine learning, hands-on exposure to LLM-based systems, and extensive experience owning complex technical products end-to-end.

What engineering teams will the product manager work with?

The role works closely with backend, mobile, and machine learning engineers.

What is the primary focus of the product being built?

The product focuses on creating a proactive smart assistant for everyday users to bring intelligence to workflows, conversations, and errands with minimal prompting.

How many interview rounds can candidates expect?

Candidates can expect between three and four interview rounds.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site