Amazon
Senior Customer Success Manager, Consumables, Mass Beauty , Consumables, Mass Beauty
$80K–$154K
Arlington, VA +3 · Manager · Full-time · Posted Sep 25, 2026
- Location
- Arlington, VA
Seattle, WA
Santa Monica, CA
New York, NY - Experience
- 4+ years of vendor or client-facing experience in Account Management, Vendor Management, and/or relevant experience in Buying, Planning, or Merchandising; preferred: 5+ years of e-commerce or retail industry experience.
- Education
- Bachelor's degree or equivalent; advanced degree, certifications or equivalent experience preferred.
About the job
Manages strategic Amazon vendor partnerships by using performance data to drive growth, vendor satisfaction, promotional planning, and improved customer experience.
What you'll do
- Develop vendor business plans and provide recommendations that deliver measurable ROI and remove blockers.
- Coordinate with internal teams, surface vendor and customer feedback, and improve cross-team processes.
- Lead promotional and catalog optimization initiatives and mentor teammates.
What they ask for
- Bachelor's degree or equivalent.
- 4+ years of vendor- or client-facing experience in Account Management, Vendor Management, or relevant Buying, Planning, or Merchandising experience.
- Data analysis experience with large datasets and complex systems; proficiency in Microsoft Excel.
- Experience managing senior stakeholder relationships and delivering independently amid some ambiguity.
Nice to have
- Experience with BI Tools (Tableau, OBIEE, Business Objects, Cognos, MicroStrategy) or advanced Excel capabilities.
- 5+ years of e-commerce or retail industry experience; process improvement or project management experience is also preferred.
Pay
USD 80,000.00 - 140,000.00 annually (base salary); USD 88,000.00 - 154,000.00 annually (base salary); USD 80,000.00 - 140,000.00 annually (base salary); USD 82,700.00 - 140,000.00 annually (base salary)
Tools
Microsoft Excel, Tableau, OBIEE, Business Objects, Cognos, MicroStrategy
AI focus
Preferred: leverage internal AI tooling to drive efficiencies and expedite problem solving.
Model-written summary · the original posting is authoritative