Enterprise Data Sales Lead: Retail, CPG & QSR Growth

Spectrum Reach

Greenwood Village (CO)

On-site

USD 185,000 - 210,000

Full time

14 days+

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Job summary

Spectrum Reach in the United States seeks an Enterprise Data Sales Lead for Commerce, Retail & Consumer Growth to own LATIS use-case opportunities across Retail, Restaurants/QSR, CPG, and D2C brands. This is a hunter role with overlay responsibilities and cross-functional collaboration with Solutions Engineering.

The candidate will map executive buying committees, drive high-value conversations, and close 7-figure enterprise deals with Fortune 500 brands, leveraging first-party data and

Qualifications

  • 7+ years of enterprise hunter sales experience selling high-ticket data platforms, identity resolution, predictive analytics, clean rooms, or advanced programmatic/SaaS solutions.

Responsibilities

  • Build and maintain target-account lists across Retail, Restaurants/QSR, CPG, and D2C brands.
  • Map buying committees across marketing, analytics, CRM/loyalty, and finance.
  • Lead senior-level brand conversations surfacing LATIS use cases beyond traditional media buys.
  • Identify and qualify enterprise opportunities with measurable value (CAC/LTV, acquisition efficiency).
  • Qualify opportunities and hand off to Solutions Engineering for feasibility and test design.
  • Partner with Category Sales and agency/national sellers to accelerate enterprise conversations.
  • Own momentum from qualification to close with Solutions Engineering support.
  • Operate as a direct hunter with outbound motion, overlaying when needed.

Skills

Enterprise sales
Hunter mentality
Account mapping
C-level engagement
Data platforms
Identity resolution
Predictive analytics
Clean rooms
Programmatic/SaaS

Job description

Spectrum Reach in the United States seeks an Enterprise Data Sales Lead for Commerce, Retail & Consumer Growth to own LATIS use-case opportunities across Retail, Restaurants/QSR, CPG, and D2C brands. This is a hunter role with overlay responsibilities and cross-functional collaboration with Solutions Engineering.

The candidate will map executive buying committees, drive high-value conversations, and close 7-figure enterprise deals with Fortune 500 brands, leveraging first-party data and

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