About us

Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.

We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.

The role:

You will build and operate the security systems that let Parallel ship quickly without creating avoidable risk. You will work across application security, secure defaults, AI-assisted security tooling, and the unique attack surface of agentic systems that consume untrusted web content. You will fix real vulnerabilities when they appear, then change the underlying systems so the same class of issue is harder to introduce again.

You will also help define how security fits into the development process: building reusable patterns for authentication, authorization, data handling, and outbound access, designing controls for enterprise customers, and ensuring security review happens as part of how software gets built rather than as a separate process at the end.

About you:

Have deep intuition on application security, software architecture, and how vulnerabilities emerge in real systems. You are comfortable finding issues yourself, but care more about eliminating vulnerability classes through better libraries, frameworks, and defaults.

You still like to write production code and have strong opinions on where current AI models are useful for security work and where they mostly create noise. You are comfortable operating independently, prioritizing the highest-leverage problems, and working directly with both engineers and customers.

You might be a good fit if you have:

• Significant software engineering experience, including several years focused on product or application security

• Strong experience with web and API security, including authentication, authorization, SSRF, IDOR, injection, and multi-tenant isolation

• Built frameworks, libraries, or secure defaults that reduced entire classes of vulnerabilities across a codebase or engineering organization

• Experience building security tooling using current AI models, such as automated code review, threat modeling, triage, agent harnesses, or evaluation systems

• Experience securing systems that process untrusted inputs, especially LLM or agentic systems

• Ability to work independently as the primary security owner and make clear prioritization decisions

• Strong production coding skills in Python, Go, TypeScript, or similar languages