Enterprise Account Executive, Expand - Mid West (WI, MN, IL, MI)

## Responsibilities - Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50% of your booked opportunities. - Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals. - Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes. - Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90% forecast accuracy within ±10%. - Executive negotiation & closing: Lead high-stakes contract and pricing discussions—defend your value, structure give/get trades, and land multi-year consumption commitments. - Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures. - Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes. ## Requirements - Proven SaaS quota-carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment. - Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals. - Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated. - Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in. - Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization. - Collaborative mindset: Ability to work effectively with cross-functional teams to drive results. ## Nice to Have - Experience with cloud platforms and modern data architectures. - Familiarity with SaaS sales models and consumption-based pricing. - Strong understanding of AI and search technologies. ## Benefits - Competitive compensation and performance-based incentives. - Opportunities for professional growth and development. - Collaborative and innovative work environment.