Careers at Abnormal
Build the future
of cybersecurity.
Attackers are using AI to move at a speed legacy tools can’t catch.
The only way to stay ahead is to fight AI with AI – faster, smarter solutions built by people who understand the threats are evolving every day, and the stakes are only getting higher.
Why Abnormal
Hear why people build here.
Who We Are
AI-native from day one.
How We Work
Working AI-natively means you'll spend less time on the work AI can handle, and more on the highest-impact parts of your work that only you can do.
You'll work differently here.
You'll get the best AI tools available and the support to use them well, with no one to convince that AI belongs in your workflow. The expectation isn't to do the same work faster, it's to rethink your work around what AI makes possible.
Performance sets your path.
Working AI-natively compresses what used to take quarters into weeks, and one person does what used to take a team. The bar is high, and advancement here isn't gated by tenure or title. The people who create outsized impact are rewarded for it in outsized ways.
What you build here compounds.
The companies that win in the next era of AI won't just be the ones using it, they'll be the ones that have been building with it from the start. The skills and AI mindset you build here will put you years ahead of peers, and position you to lead what comes next.
Our VOICE
Our values aren’t for show.
We use our VOICE values to guide how we work together, who we hire, how we give feedback, and how we make decisions when we’re moving fast.
Velocity
We move quickly and with purpose, learning from every challenge and owning our mistakes.
Ownership
No one here says “that’s not my job.” We step into problems and drive outcomes, moving on purpose, not permission.
Intellectual honesty
We speak clearly, challenge ideas respectfully, and put facts over ego. We disagree, commit, and move forward.
Customer obsession
Everything we build serves the people who rely on us. We ask sharp questions and never do work that holds no customer value.
Excellence
We raise the bar in our work, our feedback, and our outcomes. We celebrate wins, then look for what’s next.
We’re not for everyone
You might not thrive here if…
01
You need rigid rules instead of flexible frameworks
We give you frameworks and trust, not a rulebook for every decision. If you need a defined process before you can move, the open-endedness here will wear on you.
You need rigid rules instead of flexible frameworks
We give you frameworks and trust, not a rulebook for every decision. If you need a defined process before you can move, the open-endedness here will wear on you.
Our People
Hear from some of our team, in their own words.
We're right in the middle of one of the most consequential technical shifts of our generation, and we're building something that actually matters. That combination doesn't come around often, and I'm very aware of how fortunate it is to be here for it.
I never feel bad putting my reputation on the line to sell this product. What we say we do, we actually do. Not every company can say that.
I thought I was “AI native” when I got here, but Abnormal showed me what it really meant. It's an org-level shift of trust in what the capabilities of AI can be extended to when designed properly.
Being able to show him that Abnormal would have stopped that attack right from the start and saved him 48 hours of headache was really key.
When I realized AI wasn't just helping us code faster but actually helping us design and improve the product itself, it changed how I think about what it means to be a Product Manager here.
The problems get harder as the business grows. The stakes get higher. But so are the rewards that come with it.
A lot of people on the AI Transformation team aren't traditional software engineers. But with tools like Claude and Nora, they're creating and deploying real applications. Even as a product manager, I've been able to contribute code again, which is wild.
After six months here, I've never seen a single person at Abnormal say, “That is not my job.”
It's the rare place where my curiosity, my background, and this exact moment in history all converge. AI, cybersecurity, a culture that rewards experimentation over perfection. I couldn't have designed a better next chapter if I tried.
There's a deep sense of humility and shared ownership here. I get to scale these high-stakes solutions alongside brilliant people who are just as committed to the mission as I am.
The amount of ownership you are given is overwhelming at first, but it makes you rise to the occasion and builds a skill in you that would serve you well into the future.
With hypergrowth comes opportunity organically. If you raise your hand, you get to build.
There's probably no other company right now really integrating AI this much and taking the bet on it being a fairly transformational technology versus just a useful thing.
At Abnormal, my non-traditional path is seen as a real asset. People are genuinely curious. They recognize that those experiences have shaped how I show up today.
Showing Our Work
Transforming in Public
SalesDeal Intelligence Layer
Zach Perkel built the Deal Intelligence Layer, an internal forecasting workflow that uses Claude Opus 4.6 to predict whether a deal will close in quarter. Instead of training a new ML model on handpicked features, Zach combines every piece of deal context the company has into a single prompt and lets the model decide what matters.
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SalesCSM Account Handover
Account handovers happen constantly in customer success, whether through promotions, team changes, or territory shifts. Timothy Davison built a tool in Nora Plan that pulls years of buried account history out of Gong, Salesforce, and other systems and turns it into clean, linkable handover briefs, making sure no context gets lost when an account changes hands.
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SalesCustomer Ticket Status
Jason Yu built a scheduled email briefing that hands AEs and CSMs a customer's open bugs, RFEs, and account context before every meeting. The briefing runs on Glean's Nora Task, no heavy integration required, and replaces a workflow that had been stuck on a shelved integration project for months.
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SalesSalesforce Pipeline Prediction
Shaheen Ebrahimi built Salesforce Pipeline Prediction with RevOps to compare recorded stages with Gong's actual indications. Daily, explainable stage predictions flag mismatches, reduce manual pipeline scrubbing, and help leaders catch forecast risk earlier across teams.
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MarketingAI Japanese Translator
CJ Cunniff, on Abnormal's marketing operations team, built the AI Japanese Translator: an automated workflow that uses Claude to translate Japanese-language form submissions flowing through Marketo before they reach Salesforce. What started as a persistent pain point for the international team is now a hands-off, hourly batch process.
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SalesPOV Plan Agent
Sales engineers spend significant time assembling POV (Proof of Value) plans, pulling together insights from Salesforce, Gong, and email to prepare for customer engagements. Tyler Takaro built a Glean agent that automates this entire process, generating a structured, insight-rich POV plan in minutes instead of hours.
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SalesSIREN: Software Investment Renewal Early Notice
Nancy Mixon built SIREN, an automated renewal early warning system, using Claude and Google Apps Script. Weekly emails provide shared visibility into software renewals, expand negotiation time, reduce missed notices, and help teams right-size tools and spend across stakeholders.
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Product DevelopmentNora Research: Customer Voice-to-PR
As part of the broader “customer voice to PR” initiative, Nora Research is designed to transform customer feedback into production-ready fixes. But early pilots revealed key friction points, from overly verbose reports to unnecessary code generation. This latest iteration focuses on making the system faster, clearer, and more actionable.
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SalesSalesforce Updater
Salesforce data is only as useful as it is accurate, but keeping it updated is one of the most consistently neglected (and unrealistic) expectations placed on GTM teams. Haren Bhatia’s Salesforce Updater tackles this head-on by shifting from asking reps to update fields to automatically capture what actually happened across calls and emails.
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Product DevelopmentCustomer Pulse
Hala Abualtayeb built a unified planning portal to solve a common challenge across product and engineering: understanding what customers are actually struggling with before it turns into escalations. By combining multiple data sources and using AI to cluster themes, the system enables more proactive planning and smarter prioritization.
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MarketingAI Marketing Campaign
Andres Lam built an AI Marketing Campaign solution to reduce manual marketing handoffs by generating AI-native briefs and LinkedIn banner ad variants enriched with Salesforce data. It streamlines targeting, messaging, and creative inputs, enabling teams to move faster from planning to publishing.
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PeopleTalent Acquisition Offer Agent
Jake Wei worked with Talent Acquisition to tackle the offer approval process that kicks in right after a candidate receives the green light. Today, recruiters have to stitch together details from Greenhouse, Workday, Pave, and BrightHire, then manually compile and calculate compensation context before sending an approval email to the hiring manager. It’s slow, fragmented, and easy to get wrong.
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What Will You Build Here?
Explore open positions across Abnormal and across the globe. If you want to do the most important work of your career, start here.