Enterprise AI Sales Executive — Full‑Cycle SaaS

Code and Theory, LLC

United States

Remote

USD 150,000 - 200,000

Full time

14 days+
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Job summary

Code and Theory is seeking an Enterprise Account Executive to drive revenue growth for its agentic AI product portfolio. This quota-carrying, full-cycle role owns opportunities from prospecting through close, delivering demos, building business cases, and navigating multi-stakeholder approvals.

You will engage both business buyers and technical evaluators, run discovery, map data requirements to product capabilities, and maintain forecasting in CRM.

Qualifications

  • Proven enterprise AI/SaaS or data product sales track record.
  • Experience owning full-cycle enterprise sales from prospecting to close.
  • Demonstrated success managing 6–7 figure deals with multi-stakeholder committees.
  • Able to engage both business buyers and technical evaluators with credible demos.

Responsibilities

  • Own and drive full-cycle enterprise sales opportunities—from prospecting to close.
  • Build and maintain a healthy pipeline through outbound prospecting, inbound qualification, and partner-sourced opportunities.
  • Lead discovery sessions and map customer data requirements to product capabilities.
  • Deliver tailored product demonstrations and connect AI capabilities to business value.
  • Maintain accurate forecasting and pipeline hygiene in CRM; drive deal momentum.

Skills

Enterprise sales
Quota attainment
SaaS sales
Product demos
Executive storytelling
Prospecting
CRM forecasting
Deal negotiation

Education

Bachelor's degree

Tools

Salesforce
PowerPoint
Demo tools

Job description

Code and Theory is seeking an Enterprise Account Executive to drive revenue growth for its agentic AI product portfolio. This quota-carrying, full-cycle role owns opportunities from prospecting through close, delivering demos, building business cases, and navigating multi-stakeholder approvals.

You will engage both business buyers and technical evaluators, run discovery, map data requirements to product capabilities, and maintain forecasting in CRM.

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