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Software Engineer - Security

Perplexity AI

Software Engineer - Security

Perplexity AI

San Francisco

·

On-site

·

Full-time

·

1w ago

Required Skills

Python

Go

TypeScript

Threat modeling

Secure design

Application security

ABOUT THE ROLE:

Perplexity is seeking a hands-on Software Engineer to build and evolve the software, automations, and systems that power our security operations. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure.

RESPONSIBILITIES:

  • Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling.

  • Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks.

  • Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking.

  • Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations.

  • Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features.

  • Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis.

  • Build automation to reduce manual work in incident response, containment, and remediation.

  • Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms.

QUALIFICATIONS:

  • 4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities.

  • Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools.

  • Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms.

  • Practical experience with threat modeling, secure design, or application security reviews for services or features.

  • Experience operating or contributing to bug bounty or vulnerability management programs is a plus.

  • Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments.

  • Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements.

  • Bonus: Experience designing or improving AI-powered agents or automation used for security operations.

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About Perplexity AI

Perplexity AI

Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses.

51-200

Employees

San Francisco

Headquarters

$1B

Valuation

Reviews

4.0

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

3.0

Career

3.5

Management

3.0

70%

Recommend to a Friend

Pros

Helpful tool for research and analysis

Useful for job application preparation

Effective for complex marketing challenges

Cons

Limited feedback provided

No specific criticisms mentioned

Insufficient detail on potential drawbacks

Salary Ranges

28 data points

Junior/L3

Junior/L3 · LLM Teacher

1 reports

$101,920

total / year

Base

$78,400

Stock

-

Bonus

-

$101,920

$101,920

Interview Experience

1 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

HR Screen

3

Take-home Marketing Challenge

4

Hiring Manager Interview

5

Panel Interview

6

Offer

Common Questions

Digital Marketing Strategy

Campaign Performance Analysis

Behavioral/STAR

Technical Marketing Knowledge

Case Study