Senior Threat Research Engineer – Taiwan

Obsidian Security is a global leader in cyber security protecting the SaaS and non-human identity layer modern enterprises run on — from Salesforce and Snowflake to the AI agents now deployed inside them. The Obsidian Security platform gives unified visibility into every human and machine identity, app, and integration across their SaaS estate, detects identity-based and supply chain attacks in real time, and enforces least-privilege access before it's exploited. Trusted by major Fortune 500 companies T-Mobile, Workday, Snowflake, and S&P Global, Obsidian ranked No. 95 on the 2025 Deloitte Technology Fast 500™, growing nearly 1000% from 2021–2024 — helping CISOs turn an unmonitored attack surface into one they can govern with confidence. Obsidian has also been recognized by Forbes as America's Best Startup Employers in 2026.

In August 2026, Obsidian raised $85 million in Series D financing led by Crescent Cove Advisors, with participation from existing investors including Greylock Partners, Menlo Ventures, Norwest Venture Partners, IVP, Wing Ventures, and GV — pushing Obsidian's valuation to $1.1 billion, crossing into unicorn status. Obsidian is using the funding to deepen its R&D in agentic AI security and extend its platform as the standard for governing what AI agents can access and do inside third-party applications.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and fresh capital from its Series D behind it, Obsidian is scaling rapidly toward long-term growth and IPO readiness.

Senior Threat Research Engineer – Taiwan

About the Role

Obsidian Security is looking for a Senior Threat Research Engineer to establish detection engineering capabilities within our growing Taiwan organization.

You will lead the development of security detections that identify identity threats, malicious activity, risky behavior, and emerging attack patterns across cloud and SaaS environments. The role combines threat research, detection modeling, data analysis, rule authoring, and production engineering.

You will work closely with Security Research, Product Management, platform engineering, data engineering, and Customer Success to translate real-world threats into accurate, explainable, and operationally effective detections.

You will work on directly contributing to threat models, detection logic, investigations, and validation.

What You’ll Do

• Work within detection engineering function in Taiwan, including its technical direction, operating model, quality standards, and hiring plan.

• Research cloud, identity, and SaaS threats and translate attacker behaviors into actionable detection opportunities.

• Develop threat models covering attack paths, adversary techniques, identity misuse, suspicious activity, and control failures.

• Design, author, test, and maintain detection rules and behavioral detection models.

• Define the telemetry, enrichment, correlation, and historical context required to support effective detections.

• Partner with platform and data engineering teams to build scalable detection capabilities and production processing pipelines.

• Develop frameworks for detection testing, simulation, coverage measurement, versioning, release management, and ongoing tuning.

• Measure and improve detection precision, recall, explainability, performance, and customer value.

• Investigate false positives and false negatives, identify their root causes, and improve detection logic and underlying data quality.

• Map detection coverage to relevant threat frameworks, attack techniques, product use cases, and customer risks.

• Monitor the evolving threat landscape and rapidly develop coverage for new techniques and vulnerabilities.

• Partner with Product Management and Customer Success to understand customer environments, workflows, and detection requirements.

• Create clear documentation explaining detection intent, supporting evidence, expected behavior, limitations, and recommended response actions.

• Collaborate with teams across Taiwan, the US, the UK, and Australia to build a unified global detection program.

What We’re Looking For

• Significant experience in detection engineering, threat research, security analytics, incident response, threat hunting, or a closely related security discipline.

• Experience leading security research or detection initiatives and mentoring other practitioners.

• Strong knowledge of attacker behavior, identity threats, cloud security, and modern enterprise SaaS environments.

• Demonstrated experience developing production detections using rules, queries, correlations, statistical methods, or behavioral models.

• Experience working with large security datasets, including audit events, authentication activity, identity data, application logs, or cloud telemetry.

• Ability to distinguish malicious behavior from legitimate activity and translate that reasoning into precise, maintainable detection logic.

• Strong data analysis skills and proficiency with relevant query, scripting, or programming languages.

• Understanding of detection lifecycle management, including research, development, validation, deployment, monitoring, tuning, and retirement.

• Experience measuring detection quality and using production feedback to improve security outcomes.

• Ability to communicate technical security concepts clearly to engineering, product, customer-facing, and executive audiences.

• Strong written and verbal communication skills in English.

• Ability to collaborate effectively across regions, time zones, functions, and cultures.

Nice to Have

• Experience with identity security, SaaS security, cloud detection and response, SIEM, UEBA, EDR, or XDR products.

• Deep familiarity with identity-based attacks, including account takeover, session abuse, privilege escalation, persistence, and lateral movement.

• Experience with MITRE ATT&CK or similar threat-modeling and coverage frameworks.

• Experience building detection-as-code systems, rule languages, detection engines, or automated validation frameworks.

• Experience applying machine learning, anomaly detection, or generative AI to security problems.

• Experience investigating real-world intrusions or working directly with incident response teams.

• Experience building or scaling a detection engineering team.

• Experience working in Taiwan or with globally distributed APAC teams.

• Mandarin proficiency.

What Success Looks Like

• Obsidian has a disciplined and scalable detection engineering capability in Taiwan.

• New threats are converted into production-quality detections quickly and reliably.

• Detection coverage, quality, and customer impact can be measured and continuously improved.

• False positives are controlled without sacrificing meaningful threat coverage.

• Detection engineers, researchers, and platform teams work through a clear and effective development lifecycle.

• Customers receive timely, explainable, and actionable security findings.

Employee Benefits:

Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy:

• Competitive compensation with equity and 401k
• Comprehensive healthcare with dental and vision coverage
• Flexible paid time off and paid holiday time off
• 12 weeks of new parent or family leave
• Personal and professional development resources

For more details on our US benefits, or for information on our international benefits, please see here.