Technical Product Manager

Chaos Theory; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Chaos Theory in Hong Kong seeks a Technical Product Manager to own products end to end, from stakeholder conversations to delivery, launch and ongoing improvements. AI tools guide market analysis, data, and prototyping to inform decisions.

You’ll run discovery, design, AI-augmented analysis and go-live support, shaping the roadmap and ensuring clear success metrics for features. A strong emphasis on cross-functional leadership and pragmatic trade-offs.

Qualifications

• 5+ years of demonstrable experience in product management, owning features from requirements through launch and iteration.
• AI fluency with tools like Claude, ChatGPT, Cursor for research, data analysis and prototyping, with examples ready.
• Technical fluency; ability to read code and API docs and write clear acceptance criteria for engineers.
• Data skills; ability to write SQL to define requirements, set success metrics and evaluate results.
• Writing and diagramming; ability to write clear specs and leadership summaries, and to use diagrams when helpful.
• Stakeholder management; align people with competing priorities, including external partners, and say no with rationale.

Responsibilities

• Discovery – gather and reconcile requirements from internal teams, leadership and external partners, after researching solutions from competitors.
• Product design – adapt rewards, loyalty and progression to fit the platform and users.
• AI-augmented analysis – size opportunities, track trends and build prototypes, automate repetitive work.
• Specs and diagrams – write PRDs with user stories, edge cases and acceptance criteria, with diagrams for engineers and QA.
• Delivery and scope – own the roadmap, set realistic timelines and protect scope.
• Launch and iteration – run UAT, define success metrics and drive ongoing improvements.

Skills

5+ years product mgmt

AI fluency

Technical fluency

Data skills

Writing & diagrams

Stakeholder mgmt

Tools

Mermaid

UML

Lucidchart

Excalidraw

Job description

We’re looking for a Technical Product Manager to own our products end to end. That runs from the first stakeholder conversation, through the spec, sign-off and delivery, to launch and the improvements that follow. Our engineering team ships quickly, and much of what keeps a project moving happens outside the code. That’s where you come in.

AI tools are central to how you’ll work. You’ll use them every day for market analysis, user data and working prototypes, so decisions rest on evidence and stakeholders react to something real, not a slide. It’s a high-ownership role, and a full roadmap is already waiting, spanning user engagement, acquisition and customer intelligence.

A day in the life

Your day starts with deep focus on the PRD for the next loyalty release: user stories, edge cases, and a Mermaid diagram so engineering and QA see the same flow. You prototype the one interaction you’re unsure about with an AI coding tool. It works better than you hoped.

On your way to grab a coffee, someone stops you: a creator partner wants a change before launch. You check the cost with an engineer and agree it waits for the next iteration. Nobody feels brushed off. Lunch is with a couple of engineers, half roadmap ideas, half everything else.

After lunch, the scope session with leadership flies, because your prototype answers half the questions before anyone asks.

Then yesterday’s release starts misbehaving. You dig in: a quick SQL query, a fix agreed with engineering, stakeholders kept in the loop. It’s sorted before the day is out, and the engineer who fixed it gets the credit.

You shape the product. You protect the team’s focus. You ship what matters.

To succeed in this role, you’ll need

• Experience – 5+ years of demonstrable experience in product management, owning features from requirements through launch and iteration, ideally in consumer tech, fintech or another high-velocity digital product.
• AI fluency – Claude, ChatGPT, Cursor or equivalents are part of your daily work for research, data analysis and prototyping, and you know where their output needs checking. Come ready to show examples.
• Technical fluency – You read code and API documentation, hold your own in technical discussions, and write acceptance criteria at the level engineers need.
• Data skills – You write your own SQL to define requirements, set success metrics and evaluate results without waiting on anyone.
• Writing and diagramming – You write clear, complete specs and crisp leadership summaries. When a flow is easier to show than to describe, you draw it in UML, sequence diagrams or flowcharts (Mermaid, Lucidchart, Excalidraw).
• Stakeholder management – You align people with competing priorities, external partners included, and you’re comfortable saying no with a clear rationale.

It’d be great, but not necessary, if you also had

• Loyalty and incentives – Experience with reward systems, loyalty programs or in-product incentives.
• Risk analytics – Exposure to fraud detection, risk analytics or anomaly detection.
• Digital assets – Familiarity with blockchain explorers or on-chain analytics tools.
• Internal tooling – Experience building internal tools or automations with AI coding assistants.

You will be responsible for

• Discovery – Gathering and reconciling requirements from internal teams, leadership and external partners, including creators, after first researching how competitors and adjacent products have solved the same problem.
• Product design – Adapting mechanics like rewards, loyalty and progression to fit our platform and our users, since off-the-shelf versions rarely work as they are.
• AI-augmented analysis – Sizing opportunities, tracking market trends and user sentiment, building working prototypes, and automating repetitive product work such as reporting, research digests and feedback triage.
• Specs and diagrams – Writing PRDs with user stories, edge cases and acceptance criteria, backed by diagrams that give engineering, QA and stakeholders a single shared picture.
• Delivery and scope – Owning the roadmap for your areas, agreeing realistic timelines with engineering, making trade-offs explicit, and holding the line on scope when new requests arrive mid-build.
• Launch and iteration – Running UAT, owning go-live support, defining success metrics for every feature, and driving the enhancements that keep products healthy.

Where you’ll work

We’re based in Hong Kong’s SoHo district, across six floors of office, gym, yoga studio and entertainment space. From there we work with colleagues around the world to shake things up in one of the most exciting places on the internet today: the digital center of sports, entertainment and cryptocurrency.

We move fast and stay close to the code. Show us what you’ve built: a GitHub link, a technical blog post or a project portfolio. Under NDA? Redact the names, keep the logic.