Senior National Account Manager, Ring & Blink

Amazon•Virtual Location - Minnesota, MN

12d

About The Position

Ring and Blink are seeking an experienced sales professional with AI expertise to drive retail growth. You'll work cross-functionally with retailers and internal teams to strengthen our market position and drive strategic growth. This role requires a strategic mindset, technical aptitude, and the ability to manage multiple priorities in a fast-paced environment.

Requirements

Experience positioning and selling innovative solutions to new and existing customers and market segments
Experience with Microsoft Office products and applications
Experience with sales CRM tools such as Salesforce or similar software
Bachelor's degree or equivalent
5+ years of B2B or enterprise sales with a focus on hunting new business experience
Knowledge of procurement and source to pay processes and solutions or equivalent experience
Experience identifying trends and needs to improve an already closed large-scale technology deal

Responsibilities

Manage large retail accounts; escalate to leadership on key issues and proactively plan towards and communicate on business milestones.
Own the transition planning, promotional strategy and marketing planning across retail accounts.
Leverage AI and machine learning tools to analyze sales data, predict market trends, and optimize inventory management across retail channels while fostering retail relationships
Partner with internal teams on strategic business planning, utilizing AI-powered analytics platforms to generate actionable insights for account strategy and growth opportunities
Drive the adoption of AI-enabled customer behavior analytics to optimize product placement and promotional strategies, creating business cases for expanded SKU count with retail partners.
Collaborate with account managers on best practices; iterate on approaches while measuring impact, in order to intelligently drive growth initiatives.
Help develop, implement, and measure repeatable account management frameworks and/or approaches built to drive Retailer KPIs, utilizing AI technology to streamline processes and inefficient mechanisms.
Collaborate with data science teams to develop and maintain AI models for pricing optimization and competitive analysis

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