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채용Abnormal Security

Technical Support Engineer - AI Cybersecurity Platform

Abnormal Security

Technical Support Engineer - AI Cybersecurity Platform

Abnormal Security

Hybrid - Bangalore, India

·

Hybrid

·

Full-time

·

2mo ago

복지 및 혜택

Parental Leave

Healthcare

Unlimited Pto

Equity

필수 스킬

Python

SQL

Apache Spark

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.

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.

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Abnormal Security 소개

Abnormal Security

Software company.

201-500

직원 수

Miami

본사 위치

$4B

기업 가치

리뷰

3.0

1개 리뷰

워라밸

3.0

보상

3.0

문화

2.5

커리어

4.0

경영진

2.0

60%

친구에게 추천

장점

Lots of opportunity for impact

Plenty of work and projects

High impact role

단점

Questionable leadership

Non data-driven decisions

Poor management decisions

연봉 정보

50개 데이터

Senior/L5

Senior/L5 · Senior Manager of Customer Success

1개 리포트

$202,412

총 연봉

기본급

$176,010

주식

-

보너스

-

$202,412

$202,412

면접 경험

1개 면접

난이도

1.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience