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Enterprise Account Executive – Agentic AI

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Code and Theory, LLC
Full Time position
Listed on 2026-10-03
Job specializations:
  • Sales
    SaaS Sales, B2B Sales, Technical Sales, IT / Software Sales
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Enterprise Account Executive – Agentic AI (US)

We are seeking an Enterprise Account Executive to drive revenue growth for Stagwell’s agentic AI product business.

This is a quota-carrying, full-cycle sales role for a hands-on enterprise seller. You will own opportunities from pipeline generation through close — running discovery, delivering product demos, building the business case, and driving multi-stakeholder deals across the finish line. The ideal candidate combines a proven track record in enterprise AI, SaaS, or data product sales with the technical fluency to engage credibly with both business buyers and technical evaluators.

Because our engagements pair a software product with enterprise implementation, we are specifically looking for sellers who have sold both pure SaaS and software implementations — not one to the exclusion of the other.

This is an individual contributor role, not a management position. Success is measured by pipeline generated, deals closed, and revenue delivered.

WHAT YOU’LL DO
  • Own and drive full-cycle enterprise sales opportunities — from prospecting and qualification through negotiation and close
  • Build and maintain a healthy pipeline through outbound prospecting, inbound qualification, and partner-sourced opportunities
  • Lead discovery sessions and technical qualification, mapping customer business challenges, data requirements, and success criteria to product capabilities
  • Deliver compelling product demonstrations and configure tailored demos that connect agentic AI capabilities to measurable business outcomes
  • Translate customer needs into product-led use cases, articulating clear ROI and value narratives
  • Navigate complex, multi-stakeholder buying committees — engaging economic buyers, technical evaluators, and executive sponsors
  • Develop high-quality sales assets including presentations, business cases, and pitch content
  • Maintain accurate forecasting and pipeline hygiene in CRM; drive consistent deal momentum through structured follow-up
  • Partner with product, marketing, and delivery teams to sharpen positioning, inform the roadmap with customer feedback, and ensure clean post-sale handoffs
  • Stay current on the agentic AI landscape, competitive platforms, and enterprise adoption trends
WHAT YOU’LL NEED
  • Proven track record in enterprise product sales — AI, SaaS, data, or analytics platforms — with a history of quota attainment
  • Experience selling both SaaS subscriptions and software implementations — comfortable structuring deals that combine product licensing with implementation and services scope (e.g., a Salesforce-style ecosystem background), not implementations-only
  • Experience owning full-cycle sales, including prospecting, discovery, demo, business case, negotiation, and close
  • Demonstrated success navigating complex, multi-stakeholder enterprise sales cycles with 6– to 7-figure deal sizes
  • Strong command of product demos and value-based selling — able to run technical qualification without leaning on a sales engineer for every conversation
  • Technical fluency in AI, data, analytics, or platform architecture sufficient to engage engineers and architects credibly
  • Excellent presentation, communication, and executive storytelling skills
  • Self-directed pipeline builder who thrives with autonomy while collaborating in a team-based go-to-market motion
NICE TO HAVE
  • Experience selling agentic AI, machine learning, or GenAI products into the enterprise
  • Familiarity with a structured sales methodology (e.g., MEDDICC, Challenger, value selling)
  • Background in sales engineering or solution consulting that evolved into a closing role
  • Background at a platform company such as Salesforce, Adobe, or a major data/cloud vendor where deals combined subscription software with implementation scope
  • Exposure to marketing, media, audience, or customer…
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