Aegis AI, New York City +2
If you’re a Staff or Senior Staff engineer who wants to build a team—or an engineering manager who wants to get closer to the technology before taking on much larger leadership scope—this role is designed for that trajectory.
NY/SF in-person preferred, Open to Remote
Build security systems that can make good decisions from incomplete and noisy information.
Modern security products rarely get a perfect signal. They have to combine behavioral patterns, historical context, content, infrastructure signals, and other telemetry to determine whether something is actually risky—and decide what to do about it.
The systems you build will operate in environments where false positives have consequences and latency, precision, reliability, and customer trust all matter.
You’ll work across detection systems, distributed infrastructure, product surfaces, and AI inference—and you’ll be expected to understand the full path from raw data to a customer-visible decision.
We care less about whether your previous title perfectly matches this one and more about the scope you’ve already demonstrated.
Most importantly, you are excited by the problems themselves. The leadership opportunity is real, but the path to it starts with being an exceptional engineer.
There is rarely a clean signal. Real-world security problems are ambiguous. The same behavior can be harmless in one context and dangerous in another. The interesting engineering work is figuring out which signals matter and combining them into decisions you can defend.
“Normal” constantly changes. Every organization behaves differently. Users change jobs, locations, devices, tools, and workflows. New customers arrive without much historical data. The systems need to learn without becoming brittle.
Precision is part of the product. A security system that catches everything but constantly cries wolf isn’t useful. You’ll build evaluation systems, labeled datasets, replay infrastructure, and production feedback loops alongside the detection itself.
AI has to work in production. It’s one thing to demonstrate an impressive model offline. It’s another to make AI part of a production system with real latency, reliability, privacy, and cost constraints.
Detection is only part of the problem. The most useful security systems help customers act. Building automated or assisted responses that customers trust requires a much higher engineering bar than producing another finding in a dashboard.
Some of the product still needs to be invented. You’ll have meaningful influence over what we build, which problems we prioritize, and how early technical ideas become products.
There is no giant organization between you and the problem. If you like ambiguous technical problems, fast iteration, and being responsible for whether the thing actually works in production, you’ll have a lot of fun here.
We want someone who is outgrowing their current scope.
Maybe you’re a Staff engineer and the path to meaningful leadership at your company is measured in years.
Maybe you’re a Senior Staff engineer who wants to do more than influence architecture from the side.
Maybe you recently became a manager and discovered you don’t want to choose between being deeply technical and building an organization.
Or maybe you’re already managing engineers, but your company isn’t moving fast enough and you want to get closer to the problems again.
At Aegis, the opportunity is to start as a senior technical owner and grow with the product.
At the beginning: you’ll be deeply hands-on—shipping code, understanding the systems, setting technical direction, and establishing credibility through execution.
As you prove the scope: you’ll increasingly lead projects and engineers, own a larger part of the technical roadmap, participate in hiring, and become responsible for how the team operates.
As the company grows: the role can expand into formal engineering leadership, with ownership of people, roadmap, hiring, and strategy.
The ceiling is intentionally high. We’re a Series A company building in a rapidly changing market. People who can repeatedly turn ambiguous problems into products—and make great engineers better around them—can take on dramatically more responsibility as the company grows.
Leadership here is earned through scope and results, not promised as part of the offer.
We’re a team of ex-Google engineers who built some of the largest defensive platforms on the planet — Safe Browsing and reCAPTCHA. Now, we’re striking out on our own to tackle an even bigger challenge: stopping the new wave of adversarial AI attacks already hitting organizations today.
We're going after a $5B+ market, ripe for disruption. Traditional detection methods are too slow to keep up. Adversaries are using AI to craft customized, high-evasion attacks — and old-school rules-based systems don’t stand a chance.
We’re looking for a Staff or Senior Staff engineer to help build the next generation of security products at Aegis.
This is a highly technical role with a path to significant leadership. You won’t walk in and inherit an organization because of your title. You’ll start by owning hard problems, shipping, setting technical direction, and making the engineers around you better. As you prove that you can lead the product and the people building it, the scope can grow quickly.
We’re small, technical, and ambitious.
You’ll have a lot of autonomy and a corresponding amount of responsibility. We care about measurable outcomes more than ceremony, clear thinking more than hierarchy, and people who can learn quickly more than people who already know every answer.
We expect senior engineers to write code, write down their decisions, talk to customers, challenge assumptions, and leave both the system and the team better than they found them.
If your current role feels too narrow, too slow, or too far removed from the problems that matter—and you want to see how much scope you can earn in a fast-growing AI-native security company—we should talk.
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Source: the Aegis AI Ashby job board. We last checked this job 4 h ago. We first saw it 9 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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