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Amazon

Senior New Product Introduction Coordinator (Reverse Logistics), Value Recovery

Amazon is hiring a Senior New Product Introduction Coordinator (Reverse Logistics), Value Recovery in Dublin, Ireland. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions data analysis, supply chain and hardware knowledge among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Coordinate hardware value recovery and disposition rules across reverse logistics operations.

data-analysissupply-chainhardware-knowledgeoperations-management
The New Product Introduction (NPI) Coordinator is a key member of the Value Recovery team, ensuring we are maximising value recovery from the equipment we process — combining hardware knowledge with data analysis to drive smarter recovery decisions across our operations. They will get ahead of incoming material, reviewing and optimising disposition rules to prevent value leakage before it occurs. The role will work across our internal facilities and third-party processing partners, collaborating cross-functionally to identify opportunities, implement changes, and monitor outcomes. They will take a proactive approach to value recovery, ensuring correct disposition rules are in place from the outset — before material is processed — so that maximum value is captured across the recovery funnel. The NPI Coordinator has overall responsibility for the broader value recovery strategy, drawing on inputs from across the Value Recovery team — including sub-component level analysis — to ensure optimal recovery outcomes. They will also ensure a uniform approach and best practices are implemented across all re:Cycle Reverse Logistics (RRL) sites, driving consistency in how value recovery decisions are made regardless of location. This role carries significant autonomy and ownership, and its scope may evolve to support broader reverse logistics initiatives as the programme matures.

Key job responsibilities
• Review hardware processed across RRL operations to assess whether current disposition rules are optimised for maximum value recovery

• Analyse component data, working with supply chain stakeholders and OEMs as necessary, to identify where value is being lost across the recovery funnel, and recommend corrective actions

• Work cross-functionally with Operations, Systems, Engineering, Analytics, and Commercial teams to implement disposition changes and ensure they are followed in practice

• Provide strategic direction and prioritisation to the Value Recovery team, coordinating the focus areas and outputs of supporting roles to ensure alignment with the overall recovery strategy

• Build and maintain reporting to track recovery performance and demonstrate improvements

• Conduct ongoing monitoring of disposition compliance and recovery outcomes

• Ensure a uniform approach to disposition and value recovery best practices is implemented across all RRL sites

• Contribute to other value recovery and reverse logistics initiatives as assigned by management

About the team
re:Cycle Reverse Logistics (RRL) is an electronics processing, reuse, and recycling company that works to extend the life of used electronic equipment with a specialization in the handling of valuable electronic hardware used in data centers. We are a stand-alone company within the Amazon corporate family. We are looking for an analytical, detail-oriented, and proactive New Product Introduction (NPI) Coordinator to join our Value Recovery team and ensure we are maximising value recovery from every data center rack type we process — combining hardware knowledge with data analysis to drive smarter recovery decisions across our operations.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

- Bachelor's degree in Supply Chain, Business, Engineering, Finance, or a related technical field
- Knowledge of server hardware and components
- Experience working on and delivering end to end projects independently
- Experience with computer hardware troubleshooting and repair
- Ability to analyse component data and translate findings into recovery decisions

Preferred qualifications

- Experience in data centers, infrastructure service providers, or related technology companies
- Experience in program, project, product management, or leading a product implementation process
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience in IT asset disposition (ITAD), electronics recycling, or component recovery
- Experience with NPI, new product introduction, or similar planning processes
- Track record of identifying and implementing process improvements that delivered measurable results
- Adaptable and willing to take on a variety of work as the role and programme develop

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

How we rate this

Senior New Product Introduction Coordinator (Reverse Logistics), Value Recovery at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisSupply ChainHardware KnowledgeOperations Management

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where supply chain was part of your work. What did you do?
  3. Tell me about a project where hardware knowledge was part of your work. What did you do?
  4. Tell me about a project where operations management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Supply Chain, Hardware Knowledge, and Operations Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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