National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sr. Product Manager, OOC MFN DEX, Merchant Fulfilled Network (MFN)

Jobleads
London
3 months ago
Applications closed

Related Jobs

View all jobs

Sr Data Engineer (hybrid working)

Sr Lead Data Engineer

Sr. Data Engineer, Prime Video Growth and Commerce Analytics

Sr. Data Scientist / Machine Learning Engineer - GenAI

User Experience Researcher

eDiscovery Manager

Sr. Product Manager, OOC MFN DEX, Merchant Fulfilled Network (MFN)

Help shape the future of cross-border e-commerce by enabling international sellers to deliver products to millions of customers in Japan with exceptional delivery experiences. As a senior-level product leader, you'll lead critical initiatives for the Out of Country (OOC) Merchant Fulfilled Network (MFN) delivery experience that strengthen customer trust and help sellers succeed.


About the Role

As a Senior Product Manager, you'll shape how international sellers provide fast and reliable delivery experiences to Japanese customers. Working with teams across Amazon, you'll help craft the long-term vision and bring to life initiatives that make it easier for sellers to delight customers through better delivery promises and performance. Your work will build customer trust through improved delivery experiences, help sellers succeed through better delivery capabilities, and expand the range of unique and compelling selection that international sellers bring to customers. You'll use data-driven insights and machine learning solutions to help sellers provide faster, more accurate delivery promises while automating their delivery operations. You'll influence priorities and build strong partnerships across global teams while helping to chart Amazon's future in cross-border e-commerce.


In this role, you'll lead initiatives that create better customer experiences through improved delivery speeds and accuracy. You'll work closely with international sellers to help them provide faster, more accurate delivery promises to customers, while developing automation solutions that make it easier for them to optimize their delivery performance. Your efforts will directly contribute to increasing fast-shipping selection and maintaining high delivery promise accuracy for customers shopping from international sellers.


Key job responsibilities

  1. Define and execute product and business strategy for the OOC MFN delivery experience, including competitive analysis, feature differentiation, and long-term roadmap development.
  2. Lead executive-level product discussions and build consensus across global stakeholders on strategic initiatives and operational planning.
  3. Drive data-driven improvements through sophisticated analysis and experimentation, while developing scalable solutions that balance customer experience with seller capabilities.
  4. Design and implement new policies, mechanisms, and automation solutions to enhance delivery performance and seller adoption.
  5. Create compelling narratives and business cases to influence organizational priorities and product investments.
  6. Build and maintain strategic relationships with key stakeholders globally while leading cross-functional initiatives that significantly impact customer trust and seller success.


BASIC QUALIFICATIONS

- Bachelor's degree or equivalent
- 5+ years of product or program management, product marketing, business development or technology experience
- Experience in influencing senior leadership through data driven insights
- Experience owning/driving roadmap strategy and definition
- Experience working across functional teams and senior stakeholders
- Fluent in both Japanese and English (verbal and written communication).

PREFERRED QUALIFICATIONS

- MBA
- Background in delivery promise systems or supply chain optimization.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.