Remote-First Web3 Product Manager — On-Chain Trading

Confidential; Selangor; Remote; MYR 180,000 - 300,000; Full time

Job summary

Confidential is building on-chain trading features for a global exchange with a remote-first culture. In this role you’ll own discovery and execution flows across chains, meme and social trading, and data tools traders rely on daily.

You’ll deliver PRDs with engineers, collaborate with design and community, and decide what to build next using on-chain and user data, measuring impact by volume, activity and retention.

Qualifications

• Taken on-chain trading or Meme/social trading products live with real users.
• Active on-chain trader with first-hand feel for Meme cycles, launchpad mechanics and wallet behaviour.
• You can turn on-chain data into product: signals, wallet analytics or ranking features, and prioritise based on data.
• You write PRDs engineers can build straight from, and you ship features across teams.

Responsibilities

• Own how traders find and trade new tokens: discovery feeds, limit / take-profit / stop-loss orders, and quick execution across chains.
• Ship Meme and social trading features such as copy trading, smart-money tracking, and launchpad and trending-token flows.
• Build data products that hand traders an edge: alerts and signals, wallet analysis, and rankings.
• Decide what gets built next using on-chain and user data, and measure each release on volume, activity and retention.
• Own the PRDs and take features from discovery to launch alongside engineering, design and community.

Skills

On-chain trading

Meme trading

Social trading

Data signals

Wallet analytics

Ranking features

PRD writing

Job description

Confidential is building on-chain trading features for a global exchange with a remote-first culture. In this role you’ll own discovery and execution flows across chains, meme and social trading, and data tools traders rely on daily.

You’ll deliver PRDs with engineers, collaborate with design and community, and decide what to build next using on-chain and user data, measuring impact by volume, activity and retention.