Sr. Embedded Detection Analyst

About the role

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.

Responsibilities

• 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.

Qualifications

• 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.

Skills

• 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.

Benefits

Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. The actual offer may vary. In addition to base salary, this role is eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Pay

Base salary range for this position is dependent on the candidate's experience, skills, qualifications, and location. The actual offer may vary.

Schedule

The schedule for this role is flexible to accommodate the needs of the customer and the team.