Tech Product Manager (AI Systems)

Hyphen Connect Limited; Hong Kong; On-site; HKD 900,000 - 1,700,000; Full time

Job summary

Hyphen Connect Limited seeks an experienced product leader to work with engineers to define system architecture, run evaluations, and translate AI potential into reliable behaviors for global users.

You will own end-to-end quality, drive cross-functional execution with ML, backend, and mobile teams, design evaluation frameworks, and balance latency, cost, and user trust in a fast-moving, ambiguous environment.

Qualifications

• Strong foundation in computer science and system design.
• Hands-on experience with LLM-based systems, prompts, and feedback loops.
• Understanding of ML fundamentals, data drift and bias mitigation.
• Proven track record delivering complex technical products end-to-end.
• Ability to balance vision with technical and operational realities.

Responsibilities

• Define product and system strategy by translating AI capabilities into concrete product decisions.
• Navigate complex trade-offs balancing output quality, latency, cost, reliability and user experience.
• Drive cross-functional execution with ML, backend and mobile engineering teams, delivering clear specs and priorities.
• Lead the design and evolution of evaluation frameworks including offline metrics and live experiments.
• Own end-to-end quality, ensuring safety, predictability and user trust in shipped systems.

Skills

Technical acumen

Applied AI experience

Model behavior intuition

Product leadership

Strategic judgment

Job description

Our Client is an AI start-up company. You will work directly alongside engineers to define system architecture, run evaluations, and navigate complex trade-offs. Sitting at the intersection of user needs, model capabilities, and system constraints, your core responsibility is translating raw AI potential into reliable, high-quality behaviors for global users.

What You’ll Be Doing

• Define Product & System Strategy: Research end-to-end AI requirements and translate model capabilities, data constraints, and evaluation results into clear product decisions.
• Navigate Complex Trade-Offs: Make high-stakes architectural decisions that balance output quality, latency, operational cost, reliability, and the user experience.
• Drive Cross-Functional Execution: Partner directly with ML, backend, and mobile engineering teams on system design and iteration, providing clear specs and disciplined prioritization.
• Lead Evaluation & Measurement: Design and evolve robust evaluation frameworks encompassing offline metrics, live online experiments, and human-in-the-loop feedback.
• Own Quality End-to-End: Ship systems quickly and safely while maintaining ultimate accountability for product correctness, predictability, and user trust.

What You Will Need

• Deep Technical Acumen: A strong foundation in computer science (algorithms, data structures, system design) and the ability to comfortably review and debate technical design documents.
• Applied AI Experience: Hands‑on exposure to building and iterating on LLM-based systems, including managing complex prompts, pipelines, and feedback loops.
• Intuition for Model Behavior: A solid understanding of ML fundamentals and production realities, including how to mitigate hallucinations, model bias, and data drift.
• Proven Product Leadership: Significant experience owning complex, technical products end-to-end and successfully collaborating with senior ML and engineering teams.
• Strategic Judgment: The ability to thrive in ambiguous, fast‑moving environments by balancing ambitious product vision with technical and operational realities.