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Enterprise Account Executive - Platform

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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Enterprise Account Executive - Platform based in United States.

This role is focused on driving enterprise growth through consultative, relationship-led sales within the marketing technology space.
You will engage senior marketing stakeholders at leading consumer brands and guide complex buying journeys from prospecting through close.
The position combines strategic account development, deep marketing expertise, and disciplined sales execution.
You will translate sophisticated mobile engagement, messaging, API, and AI capabilities into clear business outcomes for enterprise buyers.
Success requires building trust quickly, understanding customer challenges, and creating tailored value propositions rather than relying on feature-based selling.
You will operate across outbound prospecting, events, strategic meetings, forecasting, and pipeline management while using AI to increase efficiency.
The role offers significant exposure to enterprise brands and requires travel for conferences and customer meetings as needed.

Accountabilities:

  • Build and maintain a strong enterprise pipeline through multi-channel outbound prospecting, social selling, direct outreach, events, referrals, and relationship development.
  • Own complex enterprise sales cycles from initial discovery through negotiation and close, including opportunities exceeding $100K in value.
  • Develop compelling, customer-specific value propositions that connect platform capabilities to measurable marketing and business outcomes.
  • Translate technical capabilities such as carrier messaging infrastructure, RCS, APIs, SMS, and MMS into clear and relevant business value for marketing decision-makers.
  • Build trusted relationships with enterprise marketers by understanding their goals, challenges, buyer personas, competitive landscape, and consumer engagement priorities.
  • Represent the organization effectively at conferences and industry events by identifying high-potential prospects, qualifying opportunities, and creating meaningful connections.
  • Maintain accurate HubSpot data, reliable forecasts, timely follow-ups, and disciplined pipeline management.
  • Use LinkedIn Sales Navigator, AI-enabled productivity tools, research, and data to improve prospecting efficiency while maintaining personalization and sound judgment.
  • Consistently achieve or exceed weekly, monthly, and quarterly sales targets.
  • Partner effectively with internal teams throughout the sales process and provide relevant customer and market insights.
  • Travel up to 50% of the time for conferences, customer meetings, and prospect engagements as required.
  • Requirements:

    • 5+ years of enterprise SaaS sales experience with a consistent track record of meeting or exceeding quota, with martech experience required.
    • Demonstrated success leading and closing complex enterprise sales cycles involving deal values above $100K.
    • Strong understanding of enterprise marketing organizations, including their priorities, performance metrics, challenges, buying processes, and internal dynamics.
    • Experience with marketing technology, mobile engagement, or related enterprise technology solutions; QSR or retail technology experience is strongly preferred.
    • Martech customer success experience is a meaningful advantage, particularly for candidates who understand the operational challenges faced by marketing teams.
    • Proven ability to generate opportunities through multi-channel prospecting and build relationships with senior enterprise stakeholders.
    • Strong command of enterprise sales technologies, including HubSpot, LinkedIn Sales Navigator, and AI-enabled productivity tools.
    • Excellent communication and active listening skills, with the ability to adapt messaging and sales strategies based on customer needs.
    • High emotional intelligence, empathy, curiosity, and the ability to build authentic relationships quickly.
    • Data-driven and operationally disciplined, with strong forecasting, qualification, follow-up, and pipeline management skills.
    • Comfortable using AI to increase sales productivity while maintaining personalization, strategic thinking, and human judgment.
    • Resilient, self-directed, coachable, accountable, and motivated by continuous learning and improvement.
    • Currently located in and authorized to work in the United States, preferably in Chicago.
    • Willing and able to travel up to 50% of the time for conferences and in-person meetings.
    • Benefits:

      • Total compensation range of $120,000 to $280,000, including base salary and performance-based commissions.
      • Final compensation determined based on relevant experience, skills, and certifications.
      • Equity options.
      • Medical, dental, and vision coverage.
      • Short- and long-term disability insurance.
      • Life insurance.
      • 12 paid holidays.
      • Flexible vacation.
      • Commuter benefits.
      • 401(k) with company match.
      • Paid parental leave.
      • Opportunity to work with recognized enterprise consumer brands and influence mobile marketing innovation.
      • Exposure to complex enterprise sales, emerging messaging technologies, AI-enabled tools, and strategic marketing challenges.
      • Culture centered on customer focus, accountability, ownership, continuous learning, integrity, and value creation.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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