Technical Support Engineer - AI Cybersecurity Platform

Reposted 2 Days Ago
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Bangalore, Bengaluru, Karnataka
In-Office
Mid level
Security • Cybersecurity
The Role
As a Technical Support Engineer, you will provide technical support for enterprise customers using AI cybersecurity solutions, resolving issues and driving product improvements while collaborating with engineering teams.
Summary Generated by Built In
About You

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 Zendesk, 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.
In This Role, You Will:
  • 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-UC1

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

Ai Tools
Confluence
Cortex Soar
Crowdstrike
Google Workspace
JIRA
Microsoft 365
Okta
Rest Api
Salesforce
Slack
Splunk
Zendesk
Zoom
Am I A Good Fit?
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The Company
San Francisco, CA
175 Employees
Year Founded: 2018

What We Do

The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.

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