Posted Jul 10, 2026

Enterprise Account Executive - Agentic AI (US)

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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 experience technology environments The target range of base compensation for this role is $150,000 - $200,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.