Cyber Threat Intelligence Researcher (AI/Cybersecurity)

Location: New York City, United States; Remote listed, with Location Type: On-site

Salary: $160,000–$200,000 per year, plus a top-of-market equity component.

Company

hirify.global is building an AI-driven cybersecurity platform that models customer environments and uses AI agents to detect, investigate, hunt, and respond to threats.

What you will do

• Conduct original research into emerging campaigns, attacker infrastructure, exploitation techniques, and adversary tradecraft across cloud, identity, endpoint, SaaS, AI, and data environments.
• Own the managed threat intelligence roadmap, intelligence priorities, sources, partners, collection, assessment, delivery, and lifecycle.
• Publish technical blogs, campaign analyses, advisories, and research reports for technical and executive audiences.
• Develop hypothesis-driven threat hunts across customer environments, including telemetry selection, queries, behavioral correlations, reusable templates, prerequisites, and limitations.
• Track actors and campaigns while separating observed facts, analytical judgments, confidence levels, and attribution uncertainty.
• Partner with detection engineering, SOC, offensive security, analysts, and product teams to operationalize intelligence through detections, investigation guidance, enrichment, response recommendations, and customer briefings.

Requirements

• 5+ years of hands-on cybersecurity experience, including substantial work in threat intelligence, threat research, threat hunting, or incident investigation; equivalent demonstrated expertise is welcome.
• Evidence-backed original research and clear technical writing, demonstrated through published work, anonymized reports, or substantive research samples.
• Strong understanding of attacker tactics, techniques, and procedures, with depth in at least one area such as cloud and identity attacks, SaaS compromise, cybercrime campaigns, or targeted intrusions.
• Experience developing and executing hypothesis-driven hunts, analyzing security telemetry, and correlating activity across sources using SQL, KQL, SPL, or similar query languages.
• Experience turning intelligence into detections, hunt content, incident insights, or customer guidance.
• Practical Python and API skills for research automation, enrichment, and data analysis, with sound judgment when using AI to support research.
• Strong analytical discipline, including evaluating source reliability, testing alternative explanations, communicating confidence, and avoiding overstated attribution or coverage.
• Ability to prioritize research around customer risk, own work through delivery, and explain technical findings to practitioners and leadership.
• Good judgment when handling sensitive telemetry, source restrictions, publication review, customer identities, and confidential information.

Nice to have

• Experience building or operating a managed threat intelligence service, defining intelligence requirements, or evaluating commercial and open-source intelligence feeds.
• Research into AI-enabled attacks, agent security, software supply chains, or threats against data platforms.
• Experience with malware analysis, infrastructure tracking, passive DNS, sandboxing, or adversary emulation.
• Familiarity with MITRE ATT&CK and ATLAS, STIX/TAXII, intelligence platforms, or detection-as-code workflows.
• Contributions to public research, conference talks, open-source intelligence tooling, hunt libraries, or detection content.
• Customer-facing experience delivering threat briefings, research findings, or hunting outcomes in an MDR, MSSP, or security product environment.

Culture & Benefits

• Individual contributor role centered on hands-on research and ownership from initial question through publication and operational use.
• Opportunity to turn research into hunts, detections, and intelligence that help customers identify and defend against emerging threats.
• Close collaboration with detection engineers, offensive researchers, analysts, AI engineers, and product teams.
• Competitive annual compensation of $160,000–$200,000 plus a top-of-market equity component; final offer considers professional experience.
• Inclusive environment welcoming people of all backgrounds, experiences, and perspectives.