AI‑Driven Vendor Growth & P&L Manager

Socket.dev

Seattle (WA)

On-site

USD 80,000 - 94,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments (RSUs)

Job summary

Amazon is hiring an Associate Vendor Manager to own a category P&L, driving revenue, profitability, and customer experience for strategic vendors. You will lead vendor negotiations, build joint business plans, and execute growth strategies across selection, pricing, and marketing with daily AI tool usage.

You will collaborate with Pricing, Inventory, Operations, Marketing, and Finance to deliver results, taking end-to-end ownership and using data-driven decisions to scale impact across millions

Qualifications

  • 1+ years of account management, project or program management or buying experience.
  • Bachelor's degree.
  • Experience using Excel and other business analytic tools.

Responsibilities

  • Own the P&L for your category cohort, develop 6-12 month category plans, monitor performance and take corrective action.
  • Manage end-to-end vendor relationships, negotiate terms, and build joint business plans for growth.
  • Conduct deep-dive analysis on pricing, selection, traffic, and conversion; use AI tools to accelerate analysis and automate reporting.
  • Coordinate cross-functional teams to execute category plans and communicate performance, risks, and opportunities to leadership.

Skills

Account management
Project management
Buying experience
Excel
SQL
HTML

Education

Bachelor's degree

Tools

Google Analytics

Job description

Amazon is hiring an Associate Vendor Manager to own a category P&L, driving revenue, profitability, and customer experience for strategic vendors. You will lead vendor negotiations, build joint business plans, and execute growth strategies across selection, pricing, and marketing with daily AI tool usage.

You will collaborate with Pricing, Inventory, Operations, Marketing, and Finance to deliver results, taking end-to-end ownership and using data-driven decisions to scale impact across millions

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