Senior Applied Threat Intelligence Analysts

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Security Research

This role involves using AI, specifically building agents and pipelines, to enhance threat intelligence analysis and delivery for Microsoft Security customers. The focus is on understanding the threat landscape, tracking threat actors, and translating findings into actionable intelligence at machine speed.

What you'd actually do

  1. Lead with AI to understand the threat landscape and the latest attacker tradecraft.
  2. Track threat actors, including financially motivated threat actors; their infrastructure, their targets, and their shifting techniques, tactics, and procedures.
  3. Translate complex technical findings into clear, prescriptive guidance for security operations teams, executives, and the broader defender community.
  4. Partner with product, research, marketing, and communications teams to ensure high-quality intelligence experiences through Microsoft's customer-facing surfaces and managed services (Agentic Security, Defender XDR, Defender Experts, Sentinel, blogs, briefings).
  5. Build and refine the pipelines, tooling, and workflows that allow Microsoft to stream insightful cyber threat intelligence to customers machine speed.

Skills

Required

  • Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field
  • 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection

Nice to have

  • Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field
  • 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
  • 3+ years of experience in cyber threat intelligence, threat hunting, incident response, or a closely related security discipline
  • Attribution experience creating threat groups, assessing connections between established threat groups, and communicating attribution assessments to internal stakeholders and customers in a timely manner
  • Demonstrated experience producing finished threat intelligence reporting for technical and/or executive audiences
  • Working experience with Microsoft Sentinel and Microsoft Defender XDR (or directly comparable SIEM/XDR platforms)
  • Understanding of adversary tradecraft, the cyber kill chain, and frameworks such as MITRE ATT&CK, the Diamond Model, and structured analytic techniques
  • Written and verbal communication skills, with a portfolio of public or customer-facing intelligence writing
  • Experience tracking and defending against financially motivated threat actors
  • Experience with endpoint, cloud, network, and identity-based attacks and datasets
  • Experience with AI tools and large language models, building agents and skills for information security applications and pipelines
  • Comprehensive OS security/internals knowledge
  • Understanding of network protocols and analytical experience with network infrastructure data & telemetry
  • Reverse-engineering with static and behavioral binary analysis experience
  • Functional understanding of common threat analysis models such as the Diamond Model, Cyber Kill Chain, and MITRE ATT&CK
  • Programming or scripting background (Python, PowerShell, C#, C++, etc.)

What the JD emphasized

  • AI tools and large language models, building agents and skills for information security applications and pipelines

Other signals

  • AI for threat intelligence
  • building AI agents for security
  • AI pipelines for intelligence