Sr. Product Manager, Selection, Jp Fba

Amazon Amazon · Big Tech · 13, Japan +1 · Project/Program/Product Management--Non-Tech

This role is for a Sr. Product Manager focused on selection growth for Amazon Japan's Third-Party Seller business. The primary responsibility is to drive the expansion and improve the quality and discoverability of product selection by working with customers and selling partners, collaborating with technical and business stakeholders, and leveraging GenAI for efficiency. The role involves owning key metrics, developing strategy and roadmaps, executing plans, analyzing data, and managing trade-offs to onboard new products at scale.

What you'd actually do

  1. Own key metrics relevant to Japan FBA selection, ensuring timely reporting and developing insights about their evolution; use advanced analytics to identify new metrics and opportunities
  2. Dive deep into selection data to uncover the highest-impact opportunities for expanding the product assortment across key categories in Japan
  3. Develop the strategy and roadmap to drive Japan FBA selection growth
  4. Execute the plan by partnering with operations, tech, sales, marketing, and global stakeholders to onboard critical new, in-demand products at scale
  5. Analyze data and seller feedback to measure initiative effectiveness and guide decision-making

Skills

Required

  • 5+ years of product or program management, product marketing, business development or technology experience
  • Bachelor's degree or equivalent
  • Experience owning/driving roadmap strategy and definition
  • Experience with end to end product delivery
  • Experience with feature delivery and tradeoffs of a product
  • Experience as a product manager or owner
  • Experience owning technology products

Nice to have

  • Experience in influencing senior leadership through data driven insights
  • Experience working across functional teams and senior stakeholders
  • Speak, write, and read fluently in Japanese

What the JD emphasized

  • Leverage GenAI to drive executional efficiency and impact