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Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate. Microsoft Security Research is at the front line of defending Microsoft customers and the broader ecosystem against the world's most sophisticated threat actors. Our Applied Threat Intelligence team tracks the threat landscape and the threat actors that target our customers; where they have been, where they are today, and predict where they will be tomorrow. We partner deeply across Microsoft Threat Intelligence, product engineering, and research to ensure our customers stay ahead of threats.
Job Responsibility
Lead with AI to understand the threat landscape and the latest attacker tradecraft
Track threat actors, including financially motivated threat actors
their infrastructure, their targets, and their shifting techniques, tactics, and procedures
Translate complex technical findings into clear, prescriptive guidance for security operations teams, executives, and the broader defender community
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)
Build and refine the pipelines, tooling, and workflows that allow Microsoft to stream insightful cyber threat intelligence to customers machine speed
Represent Microsoft Threat Intelligence in customer briefings, industry conferences, and cross-industry working groups
Mentor analysts and contribute to tradecraft, analytic standards, and team-wide knowledge sharing
Requirements
Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 4+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter
This position requires verification of U.S. citizenship due to citizenship‑based legal restrictions
Nice to have
Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 8+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 12+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
OR equivalent experience
10+ 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
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
Excellent 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.)