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Senior Software Engineer - Identity Security Enterprises are undergoing two simultaneous transformations: moving critical infrastructure to the cloud and adopting AI agents at scale. Both create an identity explosion—humans, service accounts, and AI agents now outnumber traditional users 10-to-1, each with permissions that legacy tools can't govern. Abnormal's Identity Security team is building the platform to secure this new reality: unified visibility across all identity types, behavioral intelligence that understands what's normal, and AI-native automation that operates at cloud speed. We're extending the same behavioral approach that made Abnormal the leader in email security to protect identities across cloud infrastructure and AI systems. The Identity Security team is looking for a Senior Software Engineer to build this critical product area. You'll start hands-on with a small team, shipping code while growing the product toward market fit. What you will do Work in a team 8-10 engineers, writing and reviewing code daily alongside them Collaborate closely on technical direction while building the foundations for a scalable product Partner directly with internal and external customers to gather feedback and iterate quickly Grow the team and product as we find traction and expand scope Set engineering standards and practices that will scale as the team grows This Role Is a Fit If You Thrive in ambiguity and can guide a small team through uncertainty toward product-market fit Have strong instincts for what customers need and how to translate that into product decisions Enjoy the founding-team dynamic: small group, high ownership, fast iteration This Role Is Not a Fit If You Prefer working on established teams with well-defined roadmaps Are uncomfortable with the ambiguity of an early-stage product still finding its footing Must Haves 5+ years of software engineering experience Track record of shipping products in fast-moving environments Ability to read, write, and review code at a high level (Python/Go preferred) Experience hiring and developing engineers Bay Area location required —we operate with 25% in-office presence Nice to Have Experience building enterprise/B2B security products Familiarity with machine learning systems or ML-adjacent infrastructure Exposure to AWS, Kafka, containerized services, microservices Growth Paths Expand scope as Identity Security grows, taking on additional product lines Build out a larger team as we scale beyond initial product-market fit What We Offer The opportunity to join a veteran team that has built enduring ML platforms at Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. Our customer base includes multiple Fortune 500 companies, and Identity Security is a critical bet for Abnormal's future. #LI-NT1 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: $179,800 — $258,500 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.