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.
Who you are
- A technically curious and customer-focused support professional with 4+ years of experience in technical support, ideally within cybersecurity, enterprise SaaS, or API-driven platforms.
- Knowledgeable in email security fundamentals, SaaS environments, and cloud ecosystems such as Microsoft 365, Google Workspace, Slack, Okta, Splunk, CrowdStrike, Cortex SOAR, REST APIs, and Zoom.
- Skilled at troubleshooting complex technical issues, analyzing logs, and partnering cross-functionally with Engineering and Product teams to drive resolution.
- An excellent communicator who can clearly explain technical concepts to both technical and non-technical audiences.
- Familiar with tools like Salesforce, Jira, and Confluence to manage workflows and collaboration effectively.
- Someone who values continuous learning, operational efficiency, and delivering exceptional customer experiences.
- Comfortable leveraging AI-powered tools and GPT-based assistants to improve troubleshooting, workflows, and support outcomes.
- Serve as a trusted L1 technical advisor for enterprise customers using Abnormal’s Cloud Email Security, AI Security Agents, and SaaS Security solutions.
- Own and resolve inbound support tickets, including configuration issues, API-related questions, behavioral false positives, and threat investigations.
- Deliver timely customer updates, root cause analysis, and solution recommendations that build trust and confidence in the platform.
- Partner closely with Engineering teams to drive high-quality resolutions and maintain thorough post-mortem documentation.
- Support onboarding and customer engagement efforts alongside Customer Success Managers.
- Create and maintain internal and external knowledge base documentation to improve customer self-service and case deflection.
- Identify recurring support trends and customer pain points, and provide feedback that helps improve product functionality and user experience.
- 4+ years of experience in technical support within cybersecurity, SaaS, or enterprise technology environments.
- Strong understanding of email security concepts and modern cloud/SaaS ecosystems.
- Experience troubleshooting APIs, integrations, and enterprise platform configurations.
- Ability to investigate and resolve technical issues through log analysis and cross-functional collaboration.
- Strong written and verbal communication skills.
- Experience working with Salesforce, Jira, Confluence, or similar support and collaboration tools.
- Customer-first mindset with a strong focus on problem-solving and operational excellence.
- Experience using AI tools or AI-powered support platforms is highly preferred.
#LI-EM3
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.
AI and our hiring process
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.
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.
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
