You’re an experienced, customer-obsessed technical support professional with a passion for solving complex problems in high-stakes environments. With 4+ years of experience, you’ve developed a track record of supporting enterprise customers, driving technical investigations, and advocating for continuous product improvement.
You're energized by the evolving threat landscape in email and SaaS security, and you’re excited to support a platform that uses behavioral AI to stop the attacks others miss. You're equal parts communicator, troubleshooter, and customer champion—committed to delivering exceptional support and building customer trust at every step.
What You Bring:- 4+ years in technical support roles, ideally in cybersecurity, enterprise SaaS, or API-driven platforms.
- Strong knowledge of email security fundamentals, SaaS platforms, and cloud ecosystems like Microsoft 365, Google Workspace, Slack, Okta, Splunk, Crowdstrike, Cortex SOAR, Rest API or Zoom.
- Proven ability to debug complex technical issues, analyze logs, and collaborate cross-functionally with Engineering and Product teams.
- Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
- Familiarity with support and collaboration tools such as Salesforce, Jira, and Confluence.
- A mindset for continuous learning, efficiency, and improving both the customer experience and internal support processes.
- Experience using AI tools (e.g., GPT-based assistants, internal chatbots, or AI-powered support platforms) for troubleshooting or prompting is a strong plus.
- Act as a trusted L1 technical advisor for enterprise customers using Abnormal’s Cloud Email Security, AI Security Agents, and SaaS Security.
- Own and resolve inbound support tickets—including configuration issues, API questions, behavioral false positives, and threat investigations.
- Provide customers with clear, timely updates, root cause insights, and solution recommendations that reinforce product confidence and trust.
- Collaborate closely with Engineering to ensure timely, high-quality resolutions and robust post-mortem documentation.
- Support seamless customer onboarding and engagement by working alongside Customer Success Managers.
- Create and maintain internal and external knowledge base content to improve case deflection and empower customers.
- Identify patterns in support interactions to flag recurring pain points and drive product improvements.
#LI-EM5
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Top Skills
Abnormal Security San Francisco, California, USA Office
185 Clara St. , San Francisco, CA, United States, 94107
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
