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.
Obsidian helps companies figure out what’s happening in their SaaS applications - who’s accessing what, where data is going, and what looks suspicious.
You’ll work across the full stack on the Threat product team: browser extension code that hooks into web applications, backend services processing millions of events, and data pipelines feeding our detection engine. One day you’re in TypeScript debugging why a content script isn’t capturing form submissions on some vendor’s weird SPA. The next you’re in Python fixing a Kafka consumer that’s falling behind. Sometimes you’re in Rust optimizing a hot path in the telemetry collector.
Right now, a big focus is shadow AI - enterprises want to know when employees are pasting sensitive data into ChatGPT, Claude, or whatever new LLM chatbot showed up this week. You’ll build the systems that catch this.
