Detection Engineering Lead – Taiwan

Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world’s largest Fortune 1000 and Global 2000 companies.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they’re transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.

Detection Engineering Lead – Taiwan

Obsidian Security is looking for a Detection Engineering Lead to establish and lead 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.

This is a hands-on leadership role. You will shape detection strategy and processes while directly contributing to threat models, detection logic, investigations, and validation. You will also build and mentor a Taiwan-based team as the organization grows.

• Establish and lead the 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