[Hiring] Lead Threat Hunter @Allstate

Role Description

We are seeking a Lead Threat Hunter to lead hypothesis-driven, intelligence-led hunts across enterprise, cloud, and OT/IoT environments. This role proactively identifies adversary tradecraft that evades existing detections, operationalizes findings into durable detection logic, and partners with Threat Intelligence, Detection Engineering, IR, Exposure Management, and REM to reduce dwell time and shrink the enterprise exposure plane. The hunter will leverage MITRE ATT&CK, the Pyramid of Pain, and the Diamond Model to drive measurable risk reduction.

Key Responsibilities

• Lead hypothesis-driven, intelligence-led hunt campaigns from formulation through reporting, mapped to MITRE ATT&CK.
• Design and execute custom analytics against large-scale security telemetry (SIEM, EDR/XDR, identity, cloud, network) to uncover adversary tradecraft that evades existing detections.
• Perform identity-centric hunting across Entra ID, Active Directory, and SaaS platforms - token theft, session hijacking, MFA bypass, OAuth abuse, and conditional access circumvention.
• Conduct cloud-native hunting across AWS, Azure, M365, and SaaS control planes, including audit logs, identity events, and workload telemetry.
• Convert hunt findings into durable detections, signatures, and SOAR playbooks in partnership with Detection Engineering, closing the hunt-to-detect loop.
• Perform Deception Operations by defining adversary-aligned use cases, authoring detection requirements for deception-generated activity, and tuning signal vs. noise thresholds.
• Leverage AI and LLM-assisted tooling to accelerate hunting - including query generation, log summarization, entity pivoting, anomaly clustering, and large-scale pattern discovery across disparate telemetry sources.
• Hunt within AI and LLM environments - including enterprise copilots, internal/external LLM deployments, AI agents, RAG pipelines, model endpoints, and AI/ML infrastructure - for threats such as prompt injection, model abuse, data exfiltration via AI channels, agent hijacking, supply-chain compromise of models, and unauthorized model access.
• Produce post-hunt reports with explicit evidence and measurable outcomes tied to exposure reduction.
• Partner with Threat Intelligence to operationalize finished intel into targeted hunt missions and feed collection requirements upstream.
• Support purple team exercises and validate detection efficacy against adversary emulation campaigns (Atomic Red Team, CALDERA, Stratus Red Team).
• Develop and maintain custom tooling and automation to support hunting, investigation, and analyst efficiency.
• Mentor junior hunters; contribute to internal knowledge bases, hunt libraries, and team training.
• Support Incident Response, Forensics, and Insider Threat/Fraud investigations as a senior technical resource when adversary expertise is needed.
• Serve as a liaison for Threat Services across Cyber Operations, communicating findings clearly to technical peers and executive leadership.
• Identify needs, drive solutions, and operate autonomously within strategic priorities.
• Identify visibility and telemetry gaps discovered during hunts and partner with engineering teams to improve enterprise collection coverage.
• Develop behavioral, anomaly-based, and baseline-deviation hunt methodologies beyond known ATT&CK tradecraft.

Qualifications

• 7+ years of experience in security operations with 4+ of those years dedicated to threat hunting.
• Deep experience hunting in large, complex enterprise environments.
• Demonstrable experience executing MITRE ATT&CK-aligned hunts with documented outcomes and detection handoffs.
• Hands-on experience with modern SIEM (Splunk, Sentinel, Elastic) and EDR/XDR (CrowdStrike, Defender, SentinelOne, Tanium).
• Demonstrated experience using AI/LLM-assisted tooling (e.g., Security Copilot, custom GPTs, agentic workflows, embeddings-based analytics) to accelerate hunting, triage, and analytic development.
• Working knowledge of hunting in AI/LLM environments - familiarity with the MITRE ATLAS framework, OWASP Top 10 for LLM Applications, and common AI-specific threats (prompt injection, model theft, training data poisoning, agent abuse, sensitive data leakage through AI channels).
• Working knowledge of threat intelligence frameworks: Diamond Model, Kill Chain, and the Pyramid of Pain.
• Strong scripting and automation skills in Python, PowerShell, GO, and/or Bash.
• Deep understanding of common network and application stack protocols: TCP/IP, DNS, TLS, HTTP, SMTP, etc.
• Experience with signature and analytic development: CQL/KQL/SPL analytics, Sigma, YARA, Snort/Suricata.
• Excellent analytical and problem-solving skills, with a research mindset and a passion for puzzles.
• Strong written and verbal communication, including the ability to produce executive-ready summaries of technical findings.
• Demonstrated leadership and mentorship capability.
• Strong motivation to understand and train in new technologies, techniques, and a self-starter.
• Demonstrated ownership of end-to-end hunting programs, including hypothesis generation, data source evaluation, hunt execution, findings analysis, stakeholder communication, and measurement of outcomes.

Desirable Criteria

• Proficiency in KQL/CQL/SPL; comfortable building complex queries and analytics across large datasets.
• Experience hunting in cloud environments (AWS, Azure, M365) using native telemetry such as CloudTrail, Azure Activity, M365 Unified Audit Log, and identity provider logs.
• Adversary emulation experience using Atomic Red Team, CALDERA, Stratus Red Team, or equivalent.
• Recent experience with malware analysis and reverse engineering.
• Hands-on experience securing or hunting within AI/ML pipelines, model registries, vector databases, and agentic systems.
• Hands-on experience with vulnerability research, penetration testing, or exploit development (offensive mindset).
• Experience with container and Kubernetes security telemetry (Falco, runtime security, cloud workload protection).
• Experience consuming deception technology outputs as a hunting data source.
• Familiarity with threat hunting maturity models (e.g., Hunting Maturity Model - HMM) and capability of advancing program maturity.
• Experience with insider threat or fraud-adjacent hunting use cases.
• Published research, conference talks, CTF participation, or contributions to open-source detection content (Sigma rules, Atomic Red Team, hunt libraries).
• Familiarity with OT/ICS or IoT environments.
• Relevant certifications such as:
  • GIAC: GCTD, GCTI, GCFA, GCFE, GNFA, GREM, GDAT, GCIA.
  • Offensive: OSCP, OSCE, CRTO.
  • Cloud: AWS Security Specialty, AZ-500, SC-200.
  • AI Security: AI/ML security certifications, MITRE ATLAS training, AI red-team credentials.
  • Foundational: CISSP, CEH.
  • Tool-specific certifications in Splunk, Sentinel, CrowdStrike, or similar platforms.

Compensation

Compensation offered for this role is $120,000 - 175,000 annually and is based on experience and qualifications.