Enterprise Data Sales Lead: Auto, Finance & Travel

Spectrum

Chicago (IL)

Vor Ort

USD 185.000 - 210.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Spectrum is seeking an Enterprise Data Sales Lead for Auto, Financial Services and Travel/Hospitality to drive brand-direct demand and build strong enterprise relationships. You will own outbound motion, map buying committees, and co-sell with category and agency teams as needed.

Ideal candidates have 7+ years of enterprise hunter sales, closed 7-figure deals, and proven success navigating matrixed organizations. A strong background in data privacy and modern data platforms is preferred.

Qualifikationen

  • 7+ years of enterprise hunter sales experience selling high-ticket data platforms or SaaS solutions.
  • Demonstrated ability to close 7-figure enterprise deals and expand over multiple years.

Aufgaben

  • Build and manage target-account lists across Auto, Financial Services, Travel/Hospitality and expand into adjacent sectors.
  • Map buying committees across marketing, CRM, analytics, and finance to surface LATIS use cases.
  • Qualify opportunities and hand off to Solutions Engineering for feasibility and PoC/test design.
  • Partner with Category Sales and agency/national sellers for co-selling paths.
  • Own end-to-end commercial momentum from qualification to close.

Kenntnisse

Enterprise sales
Hunter sales
Deal closing
Cross-sell
Stakeholder mapping

Tools

CRM platforms
PoC design

Jobbeschreibung

Spectrum is seeking an Enterprise Data Sales Lead for Auto, Financial Services and Travel/Hospitality to drive brand-direct demand and build strong enterprise relationships. You will own outbound motion, map buying committees, and co-sell with category and agency teams as needed.

Ideal candidates have 7+ years of enterprise hunter sales, closed 7-figure deals, and proven success navigating matrixed organizations. A strong background in data privacy and modern data platforms is preferred.

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