San Francisco, California, United States · On-site
About Chai Discovery Chai is a research lab working on generative models for molecular design. We are building AI infrastructure to engineer new medicines with speed and precision. The world’s largest pharmaceutical comp…
Skills: Security Engineering, Python, TypeScript, Incident Management, SOC 2
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Build and own the end-to-end security function, representing the company's security posture to pharma partners and CISOs. Partner with product and inference engineers to implement security controls and automate compliance and onboarding processes.
Requires 5+ years of security engineering experience at high-growth companies and the ability to write production code in Python or TypeScript. Candidates must have experience with SOC 2, ISO 27001, and the ability to manage incident response end-to-end.
Chai is a research lab working on generative models for molecular design. We are building AI infrastructure to engineer new medicines with speed and precision. The world’s largest pharmaceutical companies—including Eli Lilly, Pfizer, and Novartis—have started adopting our platform across their organizations.
Our mission is to unlock progress towards better cures and better science, and we see countless interesting problems on the road ahead. We are known for talent density, rigorous research and pace of execution.
Our founders have been at the forefront of this field from the beginning. and we are backed by Sequoia, Index, Thrive, General Catalyst, OpenAI, Dimension and others.
Security is what earns Chai the trust of the world's largest pharma companies. It's a precondition for the business, not a cost center. We're looking for someone to help own and build the security function end to end.
You'll represent Chai's security posture to our partners directly, sitting across from their CISOs and cloud security architects on reviews of our compute architecture, tenant isolation, egress controls, encryption, and key management. You'll drive the changes they surface back into the product and infrastructure and help Chai keep ahead of new risks.
Just as importantly, you'll be the trusted security partner to our Applied AI and Platform engineers, reviewing architecture like our shared inference fleets and per-partner data isolation before they're built, shipping the security controls that are tricky for non-specialists to get right, and automating the compliance, onboarding, and vendor work so the program mostly runs itself.
Our models have moved beyond structure prediction into real therapeutic engineering, and the partnerships that come with that raise the bar every quarter.
We index on judgment, breadth, and the instinct to build security in rather than bolt it on. The archetype is an engineer who specialized into security, thinks about the business as much as the threat model, and would rather partner with engineers than audit them. We look for:
5+ years in security engineering, having built or meaningfully improved a security program at a high-growth company (you have intuition for what a 30-person startup needs versus a 1,000-person one)
The ability to write targeted production code (Python, TypeScript), not just scripts
Startup or high-growth experience, working close to engineering rather than at arm's length
The credibility and presence to represent Chai on customer security calls with pharma CISOs
Comfort owning detection, response, and incident management end to end
Familiarity with SOC 2 and ISO 27001 as programs to run well, not boxes to check
Life sciences or other regulated-industry experience is a bonus. A background in biology is not required. What makes the difference is technical excellence, business sense, and grit.
The opportunity to work at the leading edge of AI research, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We offer highly competitive compensation.
Building frontier artificial intelligence to predict and reprogram the interactions between biochemical molecules.
Offices: San Francisco, California, US
Building frontier artificial intelligence to predict and reprogram the interactions between biochemical molecules.
Offices: San Francisco, California, US
