Senior Enterprise AI CX Sales Executive

Zendesk, Inc.

Hartford (CT)

Hybrid

USD 283,000 - 425,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work model

Job summary

Zendesk, Inc. is seeking an experienced enterprise-saaS hunter to create qualified net-new pipeline and exceed quota through targeted outbound, inbound conversion, and partner routes.

You will lead a repeatable prospecting-to-close process, translating customer priorities into Zendesk platform and AI value, while coordinating with executives and cross-functional teams to maximize win probability. Day-to-day responsibilities include discovery, qualification, value mapping, mutual action planning,

Qualifications

  • 8–12 years of experience in complex B2B SaaS new-business selling.
  • Ability to uncover business problems, urgency and measurable outcomes.
  • Experience engaging multiple stakeholders (business, tech, finance, security, procurement).
  • Proven track record in quota attainment and high-value deal ownership.

Responsibilities

  • Lead the prospecting-to-close process: discovery, qualification, value mapping, mutual action planning, business-case development, negotiation and close.
  • Translate customer priorities into Zendesk platform and AI value propositions.
  • Align with executives and multi-threaded buying committees to improve win probability.
  • Maintain CRM data, pipeline health, and forecast discipline with early risk visibility.
  • Orchestrate cross-functional teams to advance deals and deliver customer value.

Skills

New-business selling
Prospecting
Executive engagement
Deal negotiation
CRM discipline

Tools

CRM software

Job description

Zendesk, Inc. is seeking an experienced enterprise-saaS hunter to create qualified net-new pipeline and exceed quota through targeted outbound, inbound conversion, and partner routes.

You will lead a repeatable prospecting-to-close process, translating customer priorities into Zendesk platform and AI value, while coordinating with executives and cross-functional teams to maximize win probability. Day-to-day responsibilities include discovery, qualification, value mapping, mutual action planning,

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