Senior Product Manager (Anti-Scam Innovation Team)

Responsibilities:

• Opportunity discovery: Continuously identify high-potential problems and market opportunities through user interviews, partner and business-team input, product data, technology trends, competitive research, and internal capability mapping.
• Product thesis and prioritization: Frame ambiguous ideas into clear problem statements, target users, value propositions, hypotheses, success criteria, risks, and investment recommendations. Compare opportunities and make explicit trade-offs.
• Rapid validation: Design the fastest credible path to test the riskiest assumptions, using prototypes, landing pages, concierge tests, technical spikes, or lightweight MVPs. Define what evidence is sufficient to proceed, pivot, or stop.
• 0 to 1 product ownership: Own the product direction, scope, backlog, and delivery cadence for selected initiatives. Write clear product requirements and keep the team focused on learning and outcomes rather than output alone.
• Cross-functional leadership: Lead a compact squad across engineering, design, AI/data, and other functions without relying on formal authority. Create clarity, unblock decisions, and maintain a fast, sustainable working rhythm.
• Capability productization: Work with platform and technology teams to translate APIs, models, datasets, and internal anti-scam capabilities into coherent user-facing or partner-facing products.
• Market validation and go-to-market: Partner with business development, marketing, and regional teams to test positioning, pricing or partnership assumptions, prepare demos and launch materials, recruit design partners, and capture market feedback.
• Technical and operational readiness: Coordinate dependencies such as API integration, reliability, analytics, privacy, security, legal review, and Responsible AI / data-governance requirements before external release.
• Evidence-based decisions: Define metrics and instrumentation, analyze quantitative and qualitative signals, and communicate concise recommendations to product and business leaders.
• Transition for scale: When an initiative is validated, prepare a clear handoff or incubation plan covering product scope, technical dependencies, operating model, risks, success metrics, and the next investment stage.

Requirements:

• 5+ years of experience in product management, product design, or venture building, including meaningful ownership of 0 to 1 digital products, new ventures, innovation programs, or early-stage product discovery.
• A track record of turning an ambiguous problem into a shipped experiment or MVP, learning from the market, and making a clear investment, pivot, or stop decision.
• Strong product judgment: able to distinguish an interesting technology from a valuable product opportunity and identify the smallest test that can reduce uncertainty.
• Strong execution skills across discovery, prioritization, product requirements, backlog management, delivery, launch, measurement, and iteration.
• Excellent communication and stakeholder-management skills. Able to align executives and cross-functional teams, surface disagreement early, and drive decisions without formal authority.
• Sufficient technical fluency to work closely with engineers and AI/data teams on APIs, system constraints, integrations, and architecture trade-offs.
• Hands-on experience using AI tools to accelerate research, analysis, prototyping, documentation, or product operations - and the judgment to verify their output.
• Strong analytical ability. Comfortable defining metrics, interpreting product data, and using SQL, BI tools, or spreadsheets when needed to validate a decision.
• Full professional proficiency in Mandarin and English, with the ability to interview users, present ideas, and produce clear product documentation for international teams and partners.
• Comfort with uncertainty, changing priorities, incomplete information, and the possibility that a well-run experiment may end with a decision not to build.