Senior Embedded Detection Analyst, Abnormal AI

• 7+ years of experience in SOC operations, detection engineering, incident response, email security analysis, or related cybersecurity role
• Experience with security monitoring and detection platforms such as SIEM, EDR, email security tools, or similar technologies (experience with Abnormal Security is a plus)
• Experience in email attack analysis, with ability to identify and leverage IOCs and TTPs to understand and remediate threats
• Deep understanding of precision/recall metrics (true/false negatives, true/false positives) and their business impact on security operations and customer experience
• Proven experience triaging security alerts, performing root cause analysis following established procedures, and tuning detection logic to reduce false positives while maintaining coverage
• Ability to perform standardized data analysis procedures, effectively following established runbook methodologies and debugging analysis workflows as needed
• Demonstrated proficiency with AI tools (ChatGPT, Claude, Claude Code, Copilot, or similar) to enhance productivity, automate tasks, and accelerate problem-solving in both routine workflows and ad-hoc investigations
• Experience in technical writing that effectively communicates complex issues, with ability to adapt communications for audiences of varying technical expertise, particularly in customer-facing contexts
• Proven ability to work directly with customers or stakeholders on technical security issues, in collaboration with Customer Success and Sales, translating findings into business value without owning management
• Demonstrated ability to remain calm and responsive during high-pressure situations, including customer escalations and active cybersecurity incidents
• Outcome-oriented mindset that measures success by customer impact and detection improvement rather than activities completed
• Strong ownership mentality with ability to work within established processes while identifying improvement opportunities—trusted to complete tasks on time and to specification with appropriate escalation when needed

Desirable

• Abnormal AI is looking for an Embedded Detection Analyst to join our Threat Intelligence team
• The Embedded Detection Program partners directly with our highest-value customers to rapidly identify, resolve, and demonstrate measurable improvements in detection performance
• This role combines the investigative mindset of a SOC analyst with the customer-focused approach of a detection engineer—you'll own end-to-end customer outcomes by understanding pain points, using our detection analysis platform to identify root causes, implementing tuning solutions, and validating improvement
• The ideal candidate will bring SOC or security operations experience, strong analytical skills, hypothesis-driven investigation approaches, and the ability to work systematically with established tools and processes
• You'll work at the intersection of security operations, customer success, and detection quality, using our suite of analysis tools and AI-powered productivity enhancers to drive measurable customer value while contributing to the operational playbook that scales this program
• Scope and scale: Own detection performance outcomes for 3-5 strategic customer accounts, with responsibility for measurable detection KPIs, cross-customer tuning patterns, and contributions to the programs playbook
• As an Embedded Detection Analyst, you are a trusted technical partner for our strategic customers
• You are highly motivated to understand what attackers are doing, why detections are behaving unexpectedly, and how to systematically improve customer outcomes
• You're driven to stop email attackers and understand email security attack modes, TTPs, and threat patterns
• You like to dive into the details of complex detection systems, understand their behavior, and analyze root causes
• When detection output is unexpected, you investigate systematically until the issue is identified
• You approach technical challenges methodically, following established playbooks while identifying opportunities for improvement and automation
• You document your investigations clearly, maintaining comprehensive notes that can be used for future reference and team learning
• You are a clear communicator who can explain technical detection issues to both technical and non-technical audiences, particularly customers and GTM stakeholders
• You remain calm and responsive during high-pressure situations, including customer escalations and critical misclassifications
• You are a trusted team member—when you take on tasks, there is confidence they will be completed on time and to specification, with appropriate escalation when needed
• You primarily operate behind the scenes, partnering closely with GTM and customer-facing teams
• While you may occasionally join customer discussions to explain detection findings, your core focus is investigation, tuning, and measurable detection improvement rather than ongoing account management
• You measure your success by quantified detection improvements (for example, reduction in false positives/negative,improved precision/recall) across your portfolio of accounts and the entire system, not just by closing individual investigations
• Own detection performance outcomes for 3-5 strategic customer accounts, ensuring the AI engine maintains high efficacy aligned to each customer’s risk tolerance and priorities
• Become a reliable resource for customer detection issues, handling high-priority false positive and false negative escalations, often using investigation outputs from Email Security Analysts and other Threat Intel inputs
• Monitor and analyze misclassification patterns using internal detection analysis dashboards and tools
• Perform incident triage and alert correlation to systematically diagnose why detections produce false positives or miss threats, using IOCs and TTPs
• Design and implement detection tuning strategies based on customer-specific signals, attack patterns, threat intelligence, and behavioral characteristics, following established methodologies
• Fine-tune detection thresholds and configurations to optimize precision while maintaining coverage against emerging threats, balancing detection efficacy with customer experience
• Generate and present impact reports that demonstrate measurable improvement in detection improvement to both customers, and internal stakeholders, in close partnership with GTM teams
• Maintain close alignment with Sales and Customer Success leads to understand customer pain points, renewal risks, and what matters most for securing deals, without taking on primary account management responsibilities
• Document detection issues, investigation findings, and tuning approaches in a structured, reusable format to enable team learning and program improvement
• Review audit logs and analyze system interactions using internal and external tools, including AI-based analytical tools, to identify root causes, and tuning opportunities
• Identify cross-customer patterns and contribute tuning methodologies to the operational playbook that can be leveraged across the program
• Submit D360 CFN reports and AISM submissions to improve global detection coverage based on customer findings
• Provide feedback to tooling team on analysis gaps, needed capabilities, and opportunities for automation, helping shape the roadmap for detection analysis and tuning tools
• Support training of other team members by sharing investigation insights and developing repeatable methodologies, including leveraging outputs from Email Security Analysts to scale tuning impact
• Leverage AI tools (ChatGPT, Claude, Claude Code, etc.) in established workflows and investigations to accelerate research, automate routine tasks, enhance documentation, and improve problem-solving efficiency