Product Manager — Data & Analytics

Full-timeRemote
Asiavia Nodeworthy CareersPosted Sep 15, 2026
Match with my CV

Technical skills

Data analysisTechnical writingBlockchain

Methods

Product thinkingProduct management

About this role

Product Manager — Data & Analytics

Location: Remote, with GMT+8 working-hour overlap required

Reports to: CEO

Employment Type: Full-time

About the Opportunity

Nodeworthy is supporting a Web3 technology company that helps blockchain projects execute large-scale token-distribution and ecosystem-growth campaigns.

The company is expanding its digital-asset infrastructure and developing new data and intelligence products. We are looking for a Product Manager to own a product area end to end—from converting leadership direction into a clear roadmap to working closely with engineering and using market and user research to guide product decisions.

This is a high-ownership role for someone comfortable operating in a fast-moving environment where priorities can evolve and complete information may not always be available.

What You’ll Own

Product Strategy and Roadmap

  • Own and prioritise the product roadmap based on user needs, commercial objectives and available data.
  • Translate leadership direction into clear product priorities and delivery plans.
  • Evaluate trade-offs and make sound prioritisation decisions with incomplete information.
  • Define and monitor metrics that measure product adoption, performance and business impact.

Product Development

  • Translate product requirements into PRDs, user stories, acceptance criteria and actionable delivery plans.
  • Partner closely with engineering and data teams to define clear, technically feasible requirements.
  • Guide products and features from problem definition through development, launch and iteration.
  • Ensure stakeholders remain aligned on product scope, objectives and delivery expectations.

Research and Discovery

  • Conduct market, competitor and user research.
  • Turn research findings into actionable product and positioning recommendations.
  • Speak with users and stakeholders to identify pain points, workflows and unmet needs.
  • Convert feedback into well-defined product improvements rather than standalone feature requests.

Product Operations

  • Establish lightweight processes for product discovery, prioritisation and delivery.
  • Maintain clear product documentation and decision records.
  • Improve visibility across product progress, risks and dependencies.
  • Support a distributed team working across technical and commercial functions.

Before you apply

  • 1Which parts of your CV prove experience with Data analysis, Product thinking, and Product management?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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