Staff Mobile & Product Security Engineer — Equity & Impact

Mrbeast; United States; Remote; USD 178,000 - 268,000; Full time

Benefits offered by this job

Competitive salary

Medical insurance

Dental & Vision

Life insurance

401k plan

Relocation support

Tech package

Job summary

Beast Industries seeks a Staff Mobile & Product Security Engineer to own mobile and product security for a 100M+ user ecosystem across iOS, Android, and web. You’ll embed with mobile and product squads, drive threat modeling, secure-by-default patterns, and a comprehensive pen-testing program to preempt vulnerabilities.

You will architect controls for partner security requirements, ensure secure SDLC, and shape security standards as the organization scales, including AI-native considerations and

Qualifications

• You’ve secured native mobile apps at consumer scale.
• Experience building and owning an app security program.

Responsibilities

• Embed with mobile and product squads to threat-model, review, and harden features before they ship.
• Own the mobile application security program end-to-end: secure SDLC, code review, dependencies, and developer tooling.
• Own the broader product security program: secure-by-default patterns and API/backend security reviews.
• Run the pen testing program across mobile and web, with external engagements as needed.
• Architect security controls and documentation to meet partner security requirements.

Skills

Mobile security

AppSec

Pen testing

Threat modeling

Swift/Kotlin/React Native

Tools

Security tooling

Code review

Job description

Beast Industries seeks a Staff Mobile & Product Security Engineer to own mobile and product security for a 100M+ user ecosystem across iOS, Android, and web. You’ll embed with mobile and product squads, drive threat modeling, secure-by-default patterns, and a comprehensive pen-testing program to preempt vulnerabilities.

You will architect controls for partner security requirements, ensure secure SDLC, and shape security standards as the organization scales, including AI-native considerations and