AmazonSr. Category Performance Manager, Hardlines, Strategic Account Services-Hardlines
Amazon is hiring a Sr. Category Performance Manager, Hardlines, Strategic Account Services-Hardlines in Seattle, United States. It pays $140k-$190k a year and 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.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
In this role, you will drive product, program, and process enhancements that drive long-term growth and improved customer experience. Responsibilities include expanding product selection, improving product availability, building strong relationships with key partners (both internally and externally) and driving improvements to the Amazon third party platform. This role will have a high degree of autonomy and will be able to influence across a broad range of teams.
The ideal candidate will be highly organized and have a demonstrated track record of successful project management/ownership, managing multiple initiatives with competing deadlines, and using data to identify and prioritize opportunities. They are analytical, enthusiastic, self-motivated, detail-oriented, customer-focused, and has strong writing skills with the ability to handle ambiguity and influence employees at all levels of the organization.
Basic qualifications
- 5+ years of business development, account management, product management, project management, financial analysis and/or marketing experience
- Experience in business development, account management, product management, project management, financial analysis and/or marketing
- Experience leading analysis, customer segmentation and/or product behavior analysis
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience demonstrating strong analytical abilities and confidence in the use of data
- Experience in influencing senior leadership through data driven insights
- Experience working across functional teams and senior stakeholders
Preferred qualifications
- 5+ years of product management experience
- Experience with roadmap strategy and definition
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 140,300.00 - 189,800.00 USD annually
How we rate this
Sr. Category Performance Manager, Hardlines, Strategic Account Services-Hardlines at Amazon rates 34 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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.
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