Senior Product Security Engineer

About Chainalysis

Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.

As a Senior Product Security Engineer, you'll be hands on coding our product security across one or more product areas. You'll run security reviews, perform hands-on pentests, ship code and fixes directly into product repos, and drive SOC2 and risk-framework work across R&D - Engineering. This is an outstanding opportunity to work with AI Powered products at the intersection of blockchain data, AI and Security.

About the Team

Product Security at Chainalysis keeps our SaaS platform — used by governments, banks, and crypto exchanges to investigate financial crime — secure by design. We partner directly with product and platform engineering on threat modeling, design reviews, penetration testing, and remediation of findings across our AWS and Kubernetes estate.

In this role, you’ll:

• Build Product Security across Chainalysis' SaaS offerings, partnering with product and platform engineering teams on design, code, and remediation

• Drive Security Code Reviews for new product launches — including custom penetration tests

• Provide security review and guardrails for internal AI platforms and coding agents (LLM gateways, prompt/response controls)

• Create threat modeling, secure design reviews, and static/dynamic code analysis across the SDLC

• Build security automation into our CI/CD pipelines

• Participate in a shared on-call rotation for high-severity production security incidents

We’re looking for candidates who have:

• 5+ years of application security engineering experience

• Strong production coding ability in at least one of Java (preferred), TypeScript/JavaScript, Python, or Go — enough to perform deep code review, write proof-of-concept exploits, and contribute fixes directly into product repos

• Building security automation into CI/CD pipelines

• Hands-on penetration testing of production SaaS applications, including custom tests scoped to new product launches

• Identifying and remediating common web application vulnerabilities (OWASP Top 10)

• Experience securing internal AI/LLM platforms and coding agents (model gateways, prompt/response controls, agent permissioning)

Nice to have experience:

• Experience in Web3, Blockchain or Digital Assets

• Experience building AI workflows, agents, and guardrailing

Technologies we use:

• Cloud and containers: AWS, GCP, Kubernetes (EKS/GKE)

• Infrastructure-as-Code: Terraform

• Security tooling: Wiz, SonarCloud, Burp, Cloudflare

• CI/CD and source control: GitHub, GitHub Actions, Artifactory and related build/deploy tooling

• Languages and scripting: Java, JavaScript, Python, Go

• AI Coding Agents, Tooling, Systems

AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.

AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.

About Chainalysis