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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong expertise in AI security strategies, cybersecurity frameworks, and customer engagement, with a focus on building trusted relationships with senior stakeholders. Proficient in leading technical discussions and presentations while influencing product direction and sales outcomes.
Highest-signal resume keywords
AI Security Strategy DevelopmentCybersecurity ExpertiseCustomer Engagement StrategiesTechnical LeadershipEnterprise Security Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
CybersecurityCloud SecurityAI SecurityData SecurityAI GovernanceRisk ManagementEnterprise AI DeploymentMachine LearningGenerative AI SolutionsSecurity Operations
Soft Skills
Excellent Presentation SkillsStrong Communication SkillsRelationship BuildingInfluencing OutcomesMentoring
Tools & Technologies
Microsoft CopilotOpenAIAzure AI FoundryAWS BedrockGoogle GeminiDarktraceNDRXDRSIEMEDR
Certifications & Qualifications
CISSPCCSPGIACAzure Security EngineerAWS Security SpecialtyMicrosoft Security CertificationsCompTIA SecAI+
Industry Keywords
AI Security FrameworksOWASP Top 10 for LLM ApplicationsNIST AI RMFAISF-1MITRE ATLASISO 42001Cyber Risk ManagementSaaS SecurityCloud Security SolutionsSecurity Architectures
Tech Stack
Tools & technologiesAWSAzureCloudCyber Security
About the role
Key responsibilities & impact- Partner with account teams and regional leadership to develop AI security strategies supporting revenue growth, customer retention, and platform expansion
- Serve as senior technical authority for strategic AI security opportunities across enterprise, cloud, SaaS, hybrid, and operational technology environments
- Lead executive briefings, customer workshops, technical evaluations, and Proof of Value engagements focused on AI security outcomes
- Mentor field pre/post-sales engineers and account teams on AI security technologies, competitive positioning, and customer engagement strategies
- Advise customers on securing GenAI platforms, AI copilots, AI agents, AI development environments, and autonomous workflows
- Demonstrate and position Darktrace / SECURE AI capabilities and the Darktrace Behavioural AI Platform
- Help customers build governance, visibility, and security controls around enterprise AI use
- Develop trusted relationships with CISOs, CIOs, AI leaders, security architects, and executive stakeholders
- Identify expansion opportunities across Network, Email, Cloud, Endpoint, Identity, OT, and AI Security solutions
- Collaborate with Product Management and Engineering on customer feedback, competitive intelligence, feature requests, and roadmap influence
- Support repeatable AI security sales motions, technical enablement programs, and customer success frameworks
- Create and present thought leadership through webinars, whitepapers, conference presentations, blogs, and industry research
- Represent Darktrace at customer executive events, analyst briefings, industry conferences, and AI security forums
- Develop and maintain strategic partnerships with hyperscalers, AI platform providers, cloud providers, SASE vendors, MSSPs, and consulting partners
Requirements
What you’ll need- Proven experience as a Security Strategist, Solutions Architect, Sales Engineer, Technical Account Manager, or similar customer-facing technical role
- Customer-side experience highly valuable
- 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 ability to simplify complex AI and cybersecurity concepts
- Experience building trusted relationships with senior technical and business stakeholders
- Ability to influence and lead outcomes across highly matrixed organizations
- Deep understanding of enterprise security architectures including cloud, identity, networking, endpoint, email, and SaaS environments
- Experience with Microsoft Copilot, OpenAI, Azure AI Foundry, AWS Bedrock, Anthropic, Google Gemini, and other emerging AI technologies
- Strong knowledge of AI risks including prompt injection, data leakage, excessive permissions, agent abuse, model misuse, supply-chain risks, and Shadow AI
- Familiarity with AI governance, AI risk management, and emerging AI security frameworks
- Experience discussing AI adoption strategies with executive stakeholders and security leadership teams
- Hands-on experience deploying or securing enterprise AI, machine learning, or generative AI solutions preferred
- Experience in NDR, XDR, SIEM, EDR, cloud security, identity security, email security, or security operations preferred
- Knowledge of OWASP Top 10 for LLM Applications, NIST AI RMF, AISF-1, MITRE ATLAS, ISO 42001, and related guidance preferred
- Experience with Microsoft Security, AWS, Google Cloud, OpenAI, Anthropic, CrowdStrike, Palo Alto Networks, Zscaler or similar ecosystems preferred
- Experience influencing product direction through customer feedback, competitive analysis, or market insights preferred
- Relevant certifications such as CISSP, CCSP, GIAC, Azure Security Engineer, AWS Security Specialty, Microsoft Security certifications, CompTIA SecAI+ or equivalent preferred
- Experience in fast-growth cybersecurity or SaaS organizations preferred
Benefits
Comp & perks- 100% medical, dental and vision insurance, plus dependents
- Paid parental leave
- Pet insurance Discount
- Life insurance
- Commuter benefits
- 401(k)
- Employee Assistance Program