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Ebay Lead Product Manager Seller Capital CN 
China, Shanghai 
491068307

27.06.2024

What you will accomplish:

  • Drive CN Seller Capital near and long-term product and CX strategy, develop requirements and drive roadmap execution

  • Communicate business cases, strategy and decisions effectively to senior leadership and cross-functional partners, building alignment and driving shared goals across the teams.

  • Define ambitious goals to deliver against and meticulously measure against the goals to deliver significant impact to the company.

  • Discover and address customer pain points across the customer journey via qualitative and quantitative data-driven approaches to validate and identify the customer problem.

  • Constantly challenge the status quo, leveraging industry trends, market dynamics, and voice of the customer to improve product portfolio (incl. expansion to new financial products such as insurance) and CX journey.

  • Negotiate and manage ongoing third party partner relationships.

  • Exhibit strong bias for action and hold a high bar for quality, continuously optimizing execution and processes.

  • Anticipate risks, set mitigation strategies, and proactively unblock the roadmap.

What you will bring:

  • 8+ years of experience in product management, with at least 5 years leading cross-functional teams to deliver product and CX feature launches.

  • Strong track record of developing, launching, and scaling new products and CX experiences.

  • Effective communication and business proficient written and verbal fluency in Chinese and English to drive partnerships with CN third-party entities, lead CN seller engagement, and deliver with cross-functional central teams.

  • Proven ability to execute with speed and quality, and establish playbooks to drive operational excellence.

  • Experience owning and optimizing P&L of programs.

  • Strong track record of managing third party partner negotiations and relationships.

  • Experiences in small business financial services and/or e-commerce.

  • Strong data analysis skills and experience with customer research techniques.

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