Product Manager — Data & Analytics

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.