Senior Product Manager (Anti-Scam BU/2B)
On-siteTaipei, Taiwan, Taiwan
Taipei, Taiwan, TaiwanOn-siteFull TimeSenior LevelSmall
Full TimeSenior LevelSmall
Job Summary
Gather requirements directly from customers and BD teams across markets, translate needs into a clear product roadmap and PRDs, and drive delivery with RD, QA, and AI teams while owning schedule, risk, and quality. Query and interpret product data to surface insights that hold up to scrutiny, using evidence to improve both the product and the process. Make hands-on use of AI tools and integrate connectors like Jira and Confluence to cut context switching and automate workflows. Work day to day with cross-functional stakeholders to ensure releases land on time and in line with customer commitments.
Required Qualifications
- 5–8+ years in B2B / B2G product management or project management, with the ability to own both product definition and delivery execution.
- Near-native spoken and written English — able to interview, present, and document directly with overseas BD teams and customers.
- Excellent communication and stakeholder management: comfortable talking directly with front-line people, and able to translate their needs into language engineering can act on.
- Solid product-management fundamentals: requirements analysis, PRD writing, roadmap and backlog management, schedule and risk control.
- Strong data sense — able to query and analyze data independently (SQL / BI / spreadsheets) and turn it into insight and decision-making evidence.
- Familiarity with AI tools and workflow integration (e.g. Claude, Jira, Confluence, connectors / automation), and a habit of continuously improving your own workflow.
- Genuine enthusiasm for anti-scam and scam detection, and the instinct to keep asking 'is there a better way?'
Desired Qualifications
- Experience with anti-scam, security, risk management, or trust products.
- Experience serving enterprise customers or government agencies, especially in overseas markets (Southeast Asia, Japan, Korea, etc.).
- A technical background, or close prior collaboration with RD / AI teams, with an understanding of technical constraints and trade-offs.
- Experience with Agile / Scrum and hands-on project management in Jira.
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