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Open nowFirst seen 2 days ago

Tech Product Manager (AI Systems)

Hyphen Connect71 open roles

Where
Hong Kong, Hong Kong SAR, Remote
Work mode
Remote
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Your applicationOpen nowTech Product Manager (AI Systems)Hyphen Connect · Hong Kong, Hong Kong SAR, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Hyphen Connect's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 2 days ago

The posting

Our Client is a 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.
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