About the role
About RunSybil Founded in 2023 by Ari Herbert-Voss and Vlad Ionescu, RunSybil is on a mission to automate hacker intuition. We’re building Sybil: an AI-driven pentester that discovers vulnerabilities before they’re exploited. As adversaries adopt AI to increase their attack surface, we’re putting cutting-edge offensive security into the hands of defenders. Backed by strong investor support and early customer traction, our team is composed of experts from OpenAI, Meta, Mandiant, Palantir, Cruise, Trail of Bits, and Aptiv. About this Role We are seeking talented engineers intent on changing the security industry. If you have experience on fast-moving teams and pushing out high quality experiments: we want to talk to you.
What You'll Do: Propose and implement technical initiatives based on product roadmap needs Lead technical design discussions, contribute to team decisions, and provide feedback on engineering approaches Translate ambiguous technical challenges into actionable plans, and execute them in collaboration with
the team Serve as the cornerstone of our engineering culture by setting and upholding exemplary standards for code quality, practices, and craftsmanship We’re looking for someone who brings: Experience working with security data problems MS or PhD in a quantitative discipline is nice but certainly not required - strong bias for building product-informing experiments versus published works 4+ years of experience designing experiments and managing data infrastructure Understanding of both modern and classic machine learning techniques Equally comfortable with Jupyter notebooks and building data pipelines Seeks autonomy, creative problem-solving, and moving quickly in an ambiguous environment Location: Hybrid role based in New York City. Some travel may be required. Diverse teams build better products. RunSybil is committed to hiring people who bring different perspectives, lived experiences, and backgrounds to our work. We encourage candidates of all races, ethnicities, gender identity and expression, sexual orientation, disability or medical conditions, ages, religions, and socioeconomic backgrounds to apply. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you're excited about this role but don't check every box, we still want to hear from you.
About Runsybil
RunSybil is an AI-native offensive security platform that autonomously discovers and exploits real-world vulnerabilities across modern applications. Sybil agents interact with systems like expert attackers: interacting with systems dynamically, exploring authentication boundaries, finding and validating vulnerabilities, and surfacing real data exposure. The result is continuous, black-box security testing with real validation: no code access required, 90% fewer false positives, and visibility into the vulnerabilities that actually expose data.
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Job details
Location
San Francisco, New York
Funding
Total raised
$40M
Last stage
Seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.