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Observe.AI

Enterprise Account Executive

Observe.AI

. Build and run a territory plan for suitable enterprise accounts .

Posted 10/30/2026full-timeRemote • United StatesSeniorLead💰 $135,000 - $150,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise SaaS sales with a focus on complex technical sales cycles, including proficiency in MEDDPICC and the ability to engage with technical buyers. Proven track record in building ROI cases and managing outbound campaigns while mentoring peers in technical selling.

Highest-signal resume keywords
Enterprise SaaS SalesMEDDPICC MasteryAI/ML Sales ExperienceTechnical Buyer EngagementSelf-Sourced Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Complex Technical Sales CyclesROI Case DevelopmentOutbound Campaign ManagementAI WorkflowsCCaaS Technology SalesData Handling and ResidencyPerformance MeasurementIntegration DiscussionPricing Model ComfortProof-Based Evaluations
Soft Skills
Executive PresenceResourcefulnessResilienceAccountabilityMentoring
Tools & Technologies
CRM SystemsDeal Desk ManagementSales Pipeline ToolsAI/ML TechnologiesContact Center Solutions
Industry Keywords
Enterprise AccountsContact Center OperationsTechnical StakeholdersMatrixed OrganizationsGreenfield Territory

About the role

Key responsibilities & impact
  • Build and run a territory plan for suitable enterprise accounts
  • Source pipeline through multi-threaded outreach and personally run outbound campaigns
  • Navigate large, matrixed organizations with technical and business stakeholders
  • Sell to contact center operations and technology and finance executives
  • Explain voice and chat AI agents, copilots, guardrails, data handling and residency, CCaaS integrations, and performance measurement
  • Run proof-based evaluations with Solutions Engineers and forward-deployed engineers
  • Build ROI cases tied to cost per contact, containment, quality, and agent productivity
  • Run deals using MEDDPICC and Five Wins gates
  • Turn successful deal approaches into repeatable plays and share learnings with Product, Engineering, CX, and Marketing
  • Mentor Enterprise AEs on technical selling and executive engagement
  • Attend executive roundtables and customer events and develop customer references
  • Maintain accurate CRM and deal records
  • Run account plans and expansion strategies and manage pricing through the deal desk and discount tiers
  • Build AI workflows for account research, outbound, deal strategy, and forecasting

Requirements

What you’ll need
  • 8 or more years in enterprise SaaS with complex, technical sales cycles
  • Record of closing six- and seven-figure net-new deals, with ACVs of $250K or more, in the last three years
  • Experience selling AI/ML, automation, workflow, infrastructure, security, or contact center technology (CCaaS, workforce, or quality management)
  • Agentic AI experience is a strong plus
  • Credibility with technical buyers; ability to discuss architecture, security, and integration
  • Record of self-sourced pipeline in a greenfield or lightly covered territory
  • Mastery of MEDDPICC or an equivalent framework
  • Comfort with usage-based and committed-spend pricing models
  • Executive presence and ability to simplify technical value for CIOs and operations leaders
  • Scrappy, resourceful, resilient, urgent, and accountable

Benefits

Comp & perks
  • Market-aligned base pay
  • Performance incentives
  • Meaningful equity ownership in the form of options
  • Medical, dental, and vision insurance for employees and eligible dependents
  • Flexible paid time off
  • 10 company holidays
  • Annual company-wide Winter Break
  • Paid parental leave
  • 401(k) plan
  • Quarterly Lifestyle Spending Account for wellness, learning and professional development, and personal growth
  • Monthly mobile and internet stipend
  • Pre-tax commuter benefits
  • Autonomy and agency in scaling a category-defining GenAI platform