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Cognyte Sales Account Manager 
United States, Oregon 
386377503

Today

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough… Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

As a cognyter you will:

  • Driving revenue growth by identifying, developing, and closing opportunities across Cognyte’s advanced solutions portfolio.
  • Developing and executing strategic account plans for government and defense agencies, aligning solutions with mission objectives.
  • Building trusted relationships with senior leaders, technical teams, and procurement stakeholders.
  • Positioning Cognyte solutions as critical enablers of intelligence and operational success.
  • Leading complex sales cycles, from qualification to negotiation and closure.
  • Collaborating with product, engineering, and delivery teams to ensure tailored solutions that meet SIGINT, analytics, and AI/ML-driven requirements.
  • Monitoring market trends, competitive offerings, and emerging technologies to maintain a strategic edge.
  • Representing Cognyte at industry events, conferences, and customer meetings as a subject matter expert.

For that mission you’ll need:

  • Proven success in strategic sales within Law Enforcement, Intelligence Community, or Department of Defense markets.
  • Strong technical background and hands-on familiarity with Signals Intelligence, data analytics software, AI, and ML applications.
  • Minimum of 10 years of experience in solution sales in the defense, intelligence, or high-tech security sectors.
  • Ability to sell across multiple product lines and integrate solutions into complex ecosystems.
  • Exceptional relationship-building and account management skills in large, matrixed organizations.
  • Deep understanding of government procurement processes, compliance, and security clearance requirements.
  • Bachelor’s degree in Engineering, Computer Science, Data Analytics, or related field; advanced degree preferred.

Apply now.