Darktrace

Darktrace

Global Black Belt Security Specialist, AI

Home Office - United States

Sponsorship not specifiedDetected 7 days ago
AWSGCPAzureMachine LearningLLMsAgentic AICybersecuritySIEMSalesCustomer SuccessLeadershipCommunicationPublic SpeakingCISSPCompTIA

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats every day.
  • Darktrace was built on a genuinely differentiated idea: that Adaptive AI could detect and respond to novel, real-time cyber threats.
  • That approach matters more than ever in the era of AI.

Responsibilities

  • Partner with account teams and regional leadership to develop AI security strategies that support revenue growth, customer retention, and platform expansion.
  • Lead executive briefings, support customer workshops, technical evaluations, and Proof of Value engagements focused on AI security outcomes.
  • Develop trusted relationships with CISOs, CIOs, AI leaders, security architects, and executive stakeholders.
  • Collaborate with Product Management and Engineering to provide customer feedback, competitive intelligence, feature requests, and roadmap influence.
  • Support the development of repeatable AI security sales motions, technical enablement programs, and customer success frameworks.
  • Create and present thought leadership content including webinars, whitepapers, conference presentations, blogs, and industry research.
  • Develop and maintain strategic partnership with hyperscalers, AI platform providers, cloud providers, SASE vendors, MSSPs, and consulting partners.
  • Experience building trusted relationships with senior technical and business stakeholders.
  • Ability to influence and lead outcomes across highly matrixed organizations.

Nice to have

  • Mentor field pre/post sales engineers and account teams on AI security technologies, competitive positioning, and customer engagement strategies.
  • Identify expansion opportunities across Darktrace's broader platform, including Network, Email, Cloud, Endpoint, Identity, OT, and AI Security solutions.
  • Represent Darktrace at customer executive events, analyst briefings, industry conferences, and AI security forums.
  • Proven experience as a Security Strategist, Solutions Architect, Sales Engineer, Technical Account Manager, or similar customer-facing technical role.
  • Experience on the customer-side would also be highly valuable, alongside excellent presentation and communication skills.
  • Strong expertise in cybersecurity, cloud security, AI security, data security, or cyber risk management.
  • Demonstrated experience supporting consultative and solution-based sales through technical leadership and subject matter expertise.
  • Strong executive communication and presentation skills with the ability to simplify complex AI and cybersecurity concepts.

Benefits

  • 100% medical, dental and vision insurance, plus dependents
  • Paid parental leave
  • Life insurance
  • Commuter benefits
  • Hands-on experience deploying or securing enterprise AI, machine learning, or generative AI solutions.

Company info

  • Today, our customers depend on us to stay ahead.
  • At Darktrace, we are energized by that responsibility.
  • We move first and learn fast anticipating where our customers are going next, continuously challenging ourselves.
  • Advise customers on securing GenAI platforms, AI copilots, AI agents, AI development environments, and emerging autonomous workflows.
  • Help customers build governance, visibility, and security controls around the rapidly expanding use of AI across their business.

Equal opportunity

  • Equal Opportunity Employer.
  • If you require a reasonable accommodation to participate in the application or interview process, please contact your Talent Partner.
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This listing is sourced directly from Darktrace's careers page and normalized into a canonical job model.