BJAK

4 months ago

Technical Product Manager, AI Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead the end-to-end AI product strategy, translating model capabilities and data constraints into user-focused features. Collaborate with ML, backend, and mobile engineers to make tough trade-offs, define success metrics, and ensure AI features ship quickly, safely, and reliably into production while maintaining high UX and outcomes.

Location: Beijing

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Own the end-to-end AI product strategy, grounded in technical feasibility and real-world constraints.
•Translate model capabilities, data limitations, and evaluation results into clear product decisions.
•Make hard trade-offs across quality, latency, cost, reliability, and user experience.
•Work daily with ML, backend, and mobile engineers on design, evaluation, and iteration.
•Define success metrics and feedback loops across offline evaluation, online experiments, and human feedback.

Key Requirements

•Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.
•Solid understanding of ML fundamentals and how modern AI systems behave in production.
•Hands-on exposure to AI-powered products, including LLM-based systems.
•Significant experience owning complex, technical products end-to-end and working closely with senior engineers and ML teams.
•Ability to make decisions under uncertainty and balance ambition with technical and operational reality.

Experience:AiMachine learningSoftware

Skills:LeadershipCommunicationProblem-solvingStakeholder management

Tech Stack:LLMMachine learningData scienceEvaluation

Company Brief

BJAK

Bjak is a Malaysia-based insurtech that operates an online insurance comparison and distribution platform across SEA, simplifying purchase and servicing of motor and life insurance using digital tools and AI-enabled services.

Industry: InsurTech

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Selangor, Malaysia

Founded: 2019

Glassdoor: 2.5

Website LinkedIn Glassdoor

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BJAK

4 months ago

Technical Product Manager, AI Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Beijing

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Own the end-to-end AI product strategy, grounded in technical feasibility and real-world constraints.
•Translate model capabilities, data limitations, and evaluation results into clear product decisions.
•Make hard trade-offs across quality, latency, cost, reliability, and user experience.
•Work daily with ML, backend, and mobile engineers on design, evaluation, and iteration.
•Define success metrics and feedback loops across offline evaluation, online experiments, and human feedback.

Key Requirements

•Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.
•Solid understanding of ML fundamentals and how modern AI systems behave in production.
•Hands-on exposure to AI-powered products, including LLM-based systems.
•Significant experience owning complex, technical products end-to-end and working closely with senior engineers and ML teams.
•Ability to make decisions under uncertainty and balance ambition with technical and operational reality.

Experience:AiMachine learningSoftware

Skills:LeadershipCommunicationProblem-solvingStakeholder management

Tech Stack:LLMMachine learningData scienceEvaluation

Company Brief

BJAK

Industry: InsurTech

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Selangor, Malaysia

Founded: 2019

Glassdoor: 2.5

Website LinkedIn Glassdoor