Qevlar AI

Qevlar AI

Enterprise Account Executive - USA

New York, NAM, US

Sponsorship not specified$150k-$300kDetected 153 days ago
CybersecuritySOC OperationsSalesAccount ManagementOutbound SalesLeadershipCollaboration

About the role

  • Career growth and development opportunities within a rapidly expanding company.
  • Get to work directly with the team and senior leaders (Americas VP & CEO) in a buzzing, in-person environment in our NYC office.
  • Hiring process Intro Call with the Talent Team Interview with Americas VP Panel Interview Culture fit with CRO or CEO Reference check Offer

Responsibilities

  • On a day-to-day basis, you will: Build pipeline through a combination of outbound, network, and partnerships Own and close complex enterprise deals, from first conversation to signature Lead high-quality discovery and business cases with senior security leaders Work closely with solutions engineering and product to win technical trust Drive urgency and momentum in long, multi-stakeholder sales cycles Help refine our US go-to-market motion (messaging, ICP, playbooks) Consistently hit and exceed quota And importantly: bring ideas, test approaches, and help us get better every week.
  • Build pipeline through a combination of outbound, network, and partnerships Own and close complex enterprise deals, from first conversation to signature Lead high-quality discovery and business cases with senior security leaders Work closely with solutions engineering and product to win technical trust Drive urgency and momentum in long, multi-stakeholder sales cycles Help refine our US go-to-market motion (messaging,

Compensation

  • $150k-$300k

Company info

  • About Qevlar AI Qevlar is a B2B SaaS scale-up on a mission to boost the productivity of cybersecurity teams with Artificial Intelligence.
  • We build an AI platform that transitions Security Operations Centers from reactive to proactive units through autonomous security alert investigations.

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