Tech Lead
- Data Scientist Obsidian Security
- 3.0 Newport Beach, CA Job Details $220,000
- $250,000 a year 2 hours ago Qualifications APIs Python Full Job Description Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more.
Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 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. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! Tech Lead
- Data Scientist About the Role We are looking for a Technical Lead to drive the development of Obsidian's core ontology that powers our groundbreaking unified security config analysis, AI security, and threat detection product.
Scale this ontology as part of a team of 3-6 software engineers and data scientists to cover hundreds or thousands more enterprise application platforms. Drive automation of repeatable R D subtasks. Become an expert on foundational identity, authentication, authorization, network, and data security concepts. An unhealthy dose of curiosity about the design and administration — technology, people, and process — of complex application platforms such as GitHub, Salesforce, and Workday is a must. You will love exploring rabbit holes into esoteric domain knowledge related to these topics. Formulate security problems as data and ML problems, constantly addressing and refining the customer outcome in collaboration with top-flight security teams from Global 1000 companies. What We're Looking For 6+ years of experience in data science, machine learning, or applied research, preferably with 2+ years in a technical leadership role. A track record of shipping production ML or data systems at scale — ideally systems involving ontologies, knowledge graphs, entity resolution, or semantics over heterogeneous data sources. Expert-level proficiency in Python and modern ML/data tooling. Working knowledge of core security domains, or a strong ability to learn. Experience formulating fuzzy business or security problems as concrete ML/data problems: able to decompose ambiguous, ambitious problems into well-scoped subproblems and design experiments with statistical rigor. comfortable being scrappy and diving deep into vendor documentation, APIs, and audit logs to find the necessary data sources Excellent written and verbal communication skills; ability to engage credibly with technical security practitioners at large enterprises.
