Technical Customer Success

AI overview

Act as a strategic technical advisor for enterprise customers, ensuring successful integration of AI-powered security solutions while driving customer retention and growth.

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 doesn't 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 you'll do

  • Lead technical implementation for new customers to ensure rapid time-to-value and seamless security stack integration.
  • Serve as a technical expert, guiding customers through platform configurations and optimizing their security posture.
  • Monitor usage data to identify health risks and execute success plans that drive retention and account growth.
  • Act as a bridge to Product/Engineering by translating external customer feedback into actionable roadmap influence.
  • Conduct technical deep-dives and business reviews, translating platform wins into clear ROI for customer stakeholders.
  • Create documentation and deliver product demos to empower technical champions within the customer’s organization.
  • Serve as the lead for technical escalations, partnering with Engineering to ensure swift resolution of critical issues.
  • Stay current with cybersecurity trends and emerging technologies to provide informed, strategic guidance.

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

  • Generous equity package
  • Unlimited PTO (take time when you need it)
  • Great healthcare
  • Stay Healthy subsidy (for gym and sports)

The process

We’re a startup and we’re making decision 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

Perks & Benefits Extracted with AI

  • Equity Compensation: Generous equity package
  • Health Insurance: Great healthcare
  • Gym and sports subsidy: Stay Healthy subsidy (for gym and sports)
  • Paid Time Off: Unlimited PTO (take time when you need it)

Our fully remote team is building a new SaaS product, ML and AI-based. Its goal is to solve a problem in the security stack that has never been solved by a machine before. The solution will include both ML-based learning, classification, and ranking tech, as well as AI-driven path recognition. Funded by top VCs in Silicon Valley ❤️

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