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About the Role

Own a product workstream within AI-powered productivity solutions for Japan's marketplace, responsible for end-to-end product outcome from user understanding to post-launch impact measurement. Drive accountability and deliver results in ambiguous, fast-paced environments, focusing on validating product success and improving AI quality.

Responsibilities

• Identify and validate critical user needs through direct conversations, workflow observation, and data analysis.
• Translate validated needs into prioritized requirements with clear acceptance criteria for engineering and data science teams.
• Own milestone-based delivery, including requirements alignment, goal setting, roadmap finalization, launch criteria definition, testing, launch, and impact measurement.
• Define measurable evaluation metrics for AI-powered features as part of launch criteria.
• Design and maintain evaluation frameworks to continuously monitor and improve AI output quality post-launch.
• Redesign operational processes at scale, identifying opportunities for automation and AI to replace manual workflows.
• Coordinate user acceptance testing with real users and iterate based on quantitative feedback.
• Identify cross-product overlaps and coordinate with other PMs to avoid duplicate efforts and ensure coherent user experience.
• Escalate early and effectively with analysis and proposed solutions when timelines slip or blockers persist.
• Measure post-launch impact against productivity targets and demonstrate ROI with data.
• Communicate product progress, key decisions, and impact metrics to senior leadership.

Requirements

• 3+ years of product management or equivalent experience 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, including ROI models, impact quantification, and success metrics definition.
• Effective communication skills across technical and non-technical audiences.
• Business-level Japanese (N1/native) and English proficiency.
• Experience with AI/ML-powered products, understanding LLM capabilities and AI output evaluation.
• Experience designing evaluation frameworks for AI features.
• Experience redesigning operational processes at scale.
• Experience modernizing legacy systems.
• Background in e-commerce, marketplace, or sales operations.

Skills

• Product Management
• User Research
• Workflow Analysis
• Requirements Gathering
• Data Analysis
• SQL
• Python
• Analytical Skills
• Communication
• AI/ML
• Evaluation Frameworks
• Process Redesign
• Legacy System Modernization

Location

• Japan

Work Type

• Full-time

Experience Level

• 3+ years

About the Company

• Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Equal Opportunity

• 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.