About Radiant Security
We're a Bay Area Cyber AI startup. We've raised funding from top tier investors. Our vision is simple: enable all security teams, to perform security operations with the efficiency and effectiveness needed to prevent breaches. We're a small team of researchers and engineers with a deep focus in cyber and AI. Our product automates the triage for any security alert leveraging deep research, big data and dozens of AI Agents.
Join us and boost your career.
The Role
We are looking for a technically-adept and customer-obsessed Technical Customer Success Manager to join our team in San Francisco. This is a high-impact role designed for someone who doesnt just manage accounts, but acts as a strategic technical advisor.
The ideal candidate will bridge the gap between complex cybersecurity technology and business value, ensuring our enterprise customers successfully adopt, integrate, and scale our B2B SaaS platform. You will be the primary technical point of contact, helping customers navigate the technical nuances of our AI-powered security solutions.
What youll do
Things we're looking for
3+ years of experience in a customer-facing technical role (e.g., Junior CSM, Sales Engineer, or Technical Support) within B2B SaaS. Proven experience working directly with external enterprise customers; you are comfortable being the face of the company. A strong interest in or foundational knowledge of SIEM, SOC automation, or cloud security. Ability to quickly learn APIs, integrations, and cloud infrastructure to troubleshoot alongside customers. Ability to explain technical how-tos clearly to both users and managers. A self-motivated startup mindset. Able to manage multiple priorities and deadlines with minimal oversight. Education: BSc/MS in Computer Science, Engineering, or a technical 4-year degree. Domain knowledge of AI/ML is a plus.
Benefits
The Process
We're a startup and we're making decisions quickly. Our process is designed to give you the best glimpse of our team and allow us to evaluate your technical and culture fit.
People Screening > Manager Interview > Case > Interview with the VP of Product (where you'll present your case) > Peer Interview