AI Security Engineer

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 worlds 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 happensMicrosoft 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 theyre 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.

About the Role

AI is the fastest-moving attack surface in the enterprise. Copilot ChatGPT Enterprise Gemini Claude and a wave of agentic tools are being wired into corporate SaaS faster than security teams can keep up with broad OAuth scopes opaque data flows and non-human identities acting on behalf of employees. Obsidian sits directly in the path of this shift.

As an AI Security Engineer youll define how Obsidian understands identifies and mitigates risk in AI and agentic platforms. Youll own the threat models and data modeling that protect customers and youll work in the data yourself because in this space the security judgment and the query are inseparable.

What Youll Do

• Develop deep expertise in how AI platforms (ChatGPT Enterprise Copilot Gemini Claude Glean agentic frameworks) authenticate what scopes they request and where risk concentrates.
• Research emerging AI attack techniques prompt injection tool/agent misuse RAG poisoning over-permissioned integrations and turn them into detections and posture checks.
• Build threat models covering identity data access non-human identities and integration risk.
• Prototype and ship product features end-to-end against Obsidians AI and SaaS telemetry.
• Build and improve data pipelines for high efficiency development velocity and low cost.

Requirements

• 3 years in security engineering as a builder with clear ownership of shipped work.
• Strong grasp of identity and access control concepts
• Hands-on experience with a modern data stack (DBT and a columnar warehouse or query engine such as ClickHouse Snowflake BigQuery or Databricks).
• Clear communicator across engineers PMs and customer security teams.

Nice to Have

• Strong grasp of how SaaS platforms (Google Workspace Microsoft 365 Salesforce Okta) expose data APIs event schemas permissions auth flows.
• Deep knowledge of AI and SaaS security OWASP LLM Top 10 MITRE ATLAS prompt injection agent/tool-use risks OAuth abuse and identity models across major AI and SaaS platforms.