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Parallel Web Systems

APIs for AI-driven web research

Member of Technical Staff - Product Security

Security Engineering & ArchitectureUpdated on Nov 12
Full-time

About the Job

Requirements

  • Significant software engineering experience, including several years focused on product or application security.
  • Strong experience with web and API security, including authentication, authorization, server-side request forgery, insecure direct object references, injection, and multi-tenant isolation.
  • Experience building 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 large language model 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.

Responsibilities

  • Build and operate security systems that let the company ship quickly without creating avoidable risk.
  • Work across application security, secure defaults, AI-assisted security tooling, and the attack surface of agentic systems that consume untrusted web content.
  • Fix vulnerabilities when they appear and change underlying systems to make the same class of issue harder to introduce again.
  • Help define how security fits into the development process by building reusable patterns for authentication, authorization, data handling, and outbound access.
  • Design controls for enterprise customers and ensure security review is integrated into software development.

Desired Qualifications

  • Experience with Google Cloud Platform, Kubernetes, security research, open source security tooling, or conference talks.

About the Company

Parallel Web Systems

APIs for AI-driven web research

Parallel Web Systems builds infrastructure and tools that let artificial intelligence use the web effectively. Its core products are APIs, including a Deep Research API and a Search API, that give AI agents fast and accurate access to web data. The systems re-engineer every layer of data flow—from crawling and indexing to ranking—so machines can consume information efficiently rather than humans. Developers and enterprises embed these APIs into their applications to enable real-time research, workflow automation, coding assistance, and market intelligence. The company differentiates itself by focusing on AI-native web access and machine-to-machine research, creating a programmatic web where AI agents can autonomously query, analyze, and synthesize information. Its goal is to establish a standard way for AI to interact with the web, powering automated research and data-driven workflows at scale.

Company size
51-200
Company stage
Series B
Total funding
$230M
Headquarters
Palo Alto, CA
Founded
2023

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