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 Security protects organizations against threats across their SaaS and identity environments. As we scale, we are deliberately rethinking how technical support is delivered. We are not looking to grow this function by adding headcount in proportion to ticket volume. We are looking to scale it through systems, automation, and agentic AI.
This role owns that transition. You will re-architect the support operating model around technology to resolve the majority of customer issues through automated and agentic systems rather than human effort. Traditional people-management experience is welcome, but is not what we are optimizing for. We are looking for an operator who has already built and run technology-led support at scale.
This is not a traditional people-management or org-scaling role. We are explicitly optimizing for someone who scales the function through systems and automation rather than linear headcount growth. The role has full autonomy to add headcount, but the purpose of that headcount is to improve the strategic delivery of the support model and to handle tier-three escalation management, not to absorb ticket volume. Conventional support-leadership experience is valued but secondary to demonstrated technical and automation capability.
