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Explore Location
Amazon
Tokyo, Japan
(on-site)
Posted
1 day ago
Amazon
Tokyo, Japan
(on-site)
Job Type
Full-Time
Job Function
Executive/Management
Product Manager, Marketplace Productivity Solution
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Product Manager, Marketplace Productivity Solution
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
We are looking for a Product Manager to own a product workstream within our AI-powered productivity solutions for Japan's marketplace. You will be responsible for the end-to-end product outcome - not just coordination - from deeply understanding user workflows, to defining requirements, to driving delivery with engineering and data science teams, to measuring real-world impact after launch.You will own your product workstream independently: making prioritization decisions, defining launch criteria, managing stakeholder alignment, and being accountable for the productivity gains your product delivers to Account Managers and Merchant Consultants.
The products you'll own leverage generative AI to automate manual processes, surface data-driven insights, and enable faster decision-making for sales teams. Success requires you to combine product management fundamentals (user research, requirements, delivery milestones) with the ability to evaluate AI output quality, design evaluation frameworks, and iterate based on quantitative evidence.
You are expected to proactively identify opportunities, drive accountability across cross-functional teams, and deliver results in ambiguous, fast-paced environments. Success means not just launching features, but validating that they work - measuring real productivity gains and continuously improving AI quality based on data.
Key job responsibilities
• \tIdentify and validate critical user needs through direct conversations, workflow observation, and data analysis - not assumptions.
• \tTranslate validated needs into prioritized requirements (P0/P1/P2) with clear acceptance criteria for engineering and data science teams.
• \tOwn milestone-based delivery: requirements aligned → goals set → roadmap locked → launch criteria defined → testing complete → launch → impact measured.
• \tDefine measurable evaluation metrics for AI-powered features - accuracy thresholds, error rates, user satisfaction baselines - as part of launch criteria, not as an afterthought.
• \tDesign and maintain evaluation frameworks to continuously monitor and improve AI output quality post-launch.
• \tRedesign operational processes at scale, identifying where automation and AI can replace manual workflows.
• \tCoordinate user acceptance testing with real users and iterate based on quantitative feedback.
• \tIdentify cross-product overlaps and coordinate with other PMs to avoid duplicate efforts and ensure coherent user experience.
• \tEscalate early and effectively when timelines slip or blockers persist - with analysis and proposed solutions.
• \tMeasure post-launch impact against productivity targets (time saved, adoption rate, return rate) and demonstrate ROI with data.
• \tCommunicate product progress, key decisions, and impact metrics to senior leadership through regular business reviews and written narratives.[
BASIC QUALIFICATIONS
- 3+ years of product management or equivalent (PdM, technical project lead) driving delivery with engineering teams
- Experience writing business requirements and translating complex workflows into prioritized specifications
- Comfort with SQL and Python for data analysis and process automation
- 3+ years conducting user research, workflow analysis, and requirements gathering
- Strong analytical skills - ROI models, impact quantification, success metrics definition
- Effective communicator across technical and non-technical audiences
- Business-level Japanese (N1/native) and English - 60% of daily stakeholder communication is in Japanese
PREFERRED QUALIFICATIONS
- Experience with AI/ML-powered products - understanding what LLMs can do, and how to evaluate AI output quality
- Experience designing evaluation frameworks for AI features (accuracy metrics, automated test datasets, quality monitoring)
- Experience redesigning operational processes at scale - replacing manual workflows with automated solutions
- Experience modernizing legacy systems (e.g., replacing Excel/VBA-based processes with scalable, systematic approaches)
- Background in e-commerce, marketplace, or sales operations
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 85003354
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