Software Engineer

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.

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 a software engineer working on AI Security, you'll define how Obsidian understands, identifies, and mitigates risk in AI and agentic platforms. You'll own the threat models and data modeling that protect customers — and you'll work in the data yourself, because in this space, the security judgment and the query are inseparable.

What You'll 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
• Prototype and ship highly available AI Agent security products.
• Build and improve data pipelines for high efficiency, development velocity and low cost.

Requirements