Kong

Kong

Enterprise Account Executive - North Central

Minnesota, United States · Senior

Sponsorship not specifiedDetected 16 days ago
SalesforceCRMSalesAccount ManagementPipeline ManagementNegotiationForecastingCustomer SuccessMentoring

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odds of building a lasting career here

34Risky
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This is an opportunity for a proven enterprise seller who thrives in a fast-paced, high-growth environment and knows how to navigate complex SaaS, cloud, or infrastructure sales.

Responsibilities

  • Own the full enterprise sales cycle from prospecting through close and expansion.
  • Build and maintain a strong pipeline while consistently delivering against revenue targets.
  • Develop relationships with C-level executives and key decision-makers, becoming a trusted advisor.
  • Lead strategic account planning and identify new opportunities within enterprise accounts.
  • Maintain accurate forecasting and pipeline management while staying ahead of market and competitive trends.
  • Strong new-logo/hunter mentality with experience building pipeline and expanding strategic accounts.
  • Competitive compensation with uncapped commissions designed to reward performance.
  • Structured onboarding, MEDDPICC training, ongoing sales enablement, coaching, and development designed to help you grow your career.
  • Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI.

Requirements

  • Experience with Salesforce or similar CRM platforms.
  • Ability to thrive in a fast-paced, entrepreneurial environment and take ownership of your territory.

Nice to have

  • 7+ years of enterprise sales experience, ideally selling into organizations with 5,000+ employees.
  • Knowledge of APIs, open source, cloud, or infrastructure technology is a plus.

Skills

  • For more information, visit www.konghq.com http://www.konghq.com.
  • Proven success closing complex, high-value deals within SaaS, cloud, infrastructure, or enterprise software.
  • Strong consultative selling, negotiation, forecasting, and account-planning skills.

Compensation

  • Competitive Earning Potential: Competitive compensation with uncapped commissions designed to reward performance.

Benefits

  • Eligible employees have the opportunity to share in Kong's long-term growth through equity.
  • Health, wellness, retirement, parental, time-off, and other benefits are offered based on country and employment type.
  • Benefits, compensation, equity eligibility, incentive programs, and other offerings may vary based on location, role, and employment type.

Company info

  • Nobody checks every box - we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
  • Global Opportunity: Work with enterprise customers and teams across the Americas, EMEA, and APJ while helping shape the future of API and AI connectivity.
  • Partner across Product, Marketing, Customer Success, and technical teams to deliver the right solutions for customers.
  • Work with enterprise customers and teams across the Americas, EMEA, and APJ while helping shape the future of API and AI connectivity.

This listing is sourced directly from Kong's careers page and normalized into a canonical job model.