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San Francisco, California, United States
Onsite
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 $7B+ 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.
Your Mission:
Architect the foundation for a constellation of AI Agents — fast, cheap, and high-precision — that work together to detect and stop emerging threats. AI is only as good as the data it learns from and in this role, you’ll be the architect responsible for making sure our system has the very best. You’ll build and scale the infrastructure that ingests rich data streams from partners, continuously scans the internet for new threats, and monitors billions of customer events in real time to extract high-signal behavioral patterns.
This is detection at internet scale, and it requires a mindset that thrives at the intersection of performance, precision, and adaptability. Beyond data ingestion, you’ll also design and operate the AI infrastructure that powers a distributed network of intelligent agents. That means everything from building pipelines to fine-tune models with fresh threat data, to orchestrating GPU workloads across dynamic clusters, to implementing real-time feedback loops that learn from the wild and continuously evolve. This isn’t just ML ops- it’s the foundational system that lets AI fight adversarial AI, and you’ll be building it from the ground up.
The models change daily. Literally. What worked yesterday might be obsolete tomorrow.
The adversaries are smart — and getting smarter. We’re in a real-time arms race against AI-enabled attackers crafting tailored, evasive payloads.
There’s no playbook. We’re building new detection paradigms as fast as the threats evolve. It’s high-stakes, high-impact work — and you’ll be in the arena from day one.
If you’re the kind of engineer who lives for tough problems and fast feedback loops, this is your kind of challenge.
The market is massive — $5B+ and growing fast — and incumbents are too slow to adapt.
We’ve done this before. Our team built the core technology behind Safe Browsing (5B+ users) and reCAPTCHA (protecting 5M+ websites) while at Google.
This is our third time building a category-defining security business. We know how to scale both the tech and the company.
AI and security are in our DNA. We don’t bolt it on — we build it in from day one.
We only hire top performers. Most of our team were top 1% engineers at Google — if you were the best at your last job, you’ll feel right at home here.
We move fast. No politics. No hierarchy. Just brilliant people solving hard problems, together.
What We’re Looking For:
We want engineers who are outgrowing their current roles — people who want to build at the very edge of AI and cybersecurity.
You thrive in relentless environments where learning curves are steep and every day is a new challenge.
You care about speed, execution, and complete thinking more than resumes or titles.
You think in weeks and days, not months and quarters.
Despite 30+ years of combined AI experience on the founding team, we know today’s landscape changes too fast to rest on credentials. We prioritize adaptability and speed of learning above all else.
Our culture:
Flat, flexible, and fast.
You’ll own your decisions and your tech stack.
You’ll have clear KPIs for success — but how you get there is up to you.
Development cycles are measured in days, not weeks.
If you’re hungry to build AI that fights AI, and want to work with a team that moves at the speed of the real world, come talk to us.
Requirements:
2-10 years of experience
Experience scaling AI infrastructure or MLOps
Experience building in a fast paced environments
Bonus:
Experience security/detection systems
Experience working in adversarial environments (T&S, security, fraud)