Upstream Defect Elimination (UDE) is a Senior Leadership Team mission to remove unnecessary costs and invent growth opportunities in Amazon's retail business. UDE requires a myriad of software and AI mechanisms. We're in search of a Sr. Product Manager to lead our human in the loop defect elimination artificial intelligence platform.

Retail Business Services (RBS) is the force multiplier team for Amazon’s Retail business growth worldwide through three core strategic initiatives: (1) Defect Elimination - identifying retail defects at their root cause and driving extirpation to increase margins; (2) Selection - enriching Amazon inventory data increasing gross sales; and, (3) Operational Excellence - to ensure Amazon's retail business is running efficiently and effectively.

The RBS Cost to Serve team works on an array of technologies ranging from automation that leverages Machine/Deep Learning to scale execution of highly complex tasks to scaled out platform software. We're in beginning stages of building a horizontal internal platform complete with a front end interface to oversee our UDE program; and, we need an experienced Sr. Product Manager to lead product development.

As the Defect Elimination AI Platform Sr. Product Manager, you would manage the development life cycle of our nascent technology in partnership with both a Product Leader and Engineering team. The day-to-day responsibilities include, but are not limited authoring requirements documents; hands-on system validation; unblocking Dev team issues; ensuring teams are tracking to committed timelines; developing a road map; aligning with stakeholders; collaborating with partner teams; and ensuring a successful, on-time launch.

Work/Life Balance
RBS puts a high value on work-life harmony. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth:

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Also, we provide trainings to employees through online learning platforms and encourage employees to take up AWS/ML certifications.

• Key job responsibilities

• Experience of managing complex business processes at scale.

• Drive end-to-end high impact and high visibility programs that impact WW Retail and hence customer experience on Amazon

• Communication and influencing skills with an ability to deal with a fast-paced environment.

• Experience in defining, developing and using metrics to drive the vision and manage the business.

• Analyze data and dive deep into processes to derive insights for enhancing systems

• Ability to lead not only at the strategic level, but also tactically day-to-day by diving deeply into business and technical domains.

• Liaise with tech, product, ops and category teams to ensure timely deliverables for key projects

• Ability to work effectively & independently in a fast-paced environment with tight deadlines.

• Write compelling business documents and drive outcomes for senior leadership at Amazon

• A day in the life

• Collaborating with cross-team stakeholders

• Extracting requirements and authoring technical feature documents

• Aligning with Engineering counterparts to ensure development is done to specification

• Driving meetings to impactful conclusions

• Product advocacy communications

• Daily adherence to Amazon's Leadership Principles

About the team
Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills.

Basic Qualifications

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

Preferred Qualifications

• Experience in influencing senior leadership through data driven insights
• Experience working across functional teams and senior stakeholders
• Experience in delivering end-to-end customer research studies, including study design, fieldwork (qualitative research moderation and survey execution), analysis, recommendations, reporting and presentation of results to senior leadership

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