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About the Role You're a motivated, customer-obsessed technical support professional with a passion for solving complex problems in high-stakes environments. With 2 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 2 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. What you will do 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 Must Haves 2 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. Base salary range: $25.77 — $37.02 USD A note on AI in our 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 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. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.