Staff Application & Product Security Engineer (AI Focus)

Jobgether SRL; United States; Remote; USD 160,000 - 180,000; Full time

Benefits offered by this job

Remote work environment

Healthcare coverage

401(k) with company match

Flexible PTO

FSA/HSA options

Paid parental leave

Job summary

Jobgether SRL is searching for a Staff Application & Product Security Engineer based in the United States. You will own security across SaaS and customer-hosted products, embedding security in architecture, threat modeling, and release processes.

You will build automated guardrails, lead security enablement, and coordinate with executives to strengthen product security, including AI security for LLM-enabled features.

Qualifications

• 6+ years of experience in application security or product security across multiple teams.
• Strong OO development skills with Java; capable across TypeScript, Python, Go.
• Deep knowledge of authentication, API security, and modern app attack surfaces.
• Hands-on experience with SAST, SCA, and secrets scanning in CI/CD pipelines.
• Ability to reproduce exploits, validate patches, and guide remediation for researchers and customers.

Responsibilities

• Own secure SDLC across SaaS and customer-hosted products and threat modeling.
• Lead vulnerability management, triage, remediation SLAs, and release verification.
• Run penetration testing programs with scoping, testing, and remediation coordination.
• Coordinate vulnerability disclosure with researchers and customers.
• Develop AI security controls for LLMS, AI agents, and related workflows.

Skills

Java

TypeScript

Python

Go

Education

CSSLP

OSWE

GWAPT

AWS Security Specialty

Tools

SAST

SCA

GitHub Advanced Security

Semgrep

Burp Suite

Snyk

Jenkins

Kubernetes

AWS

Job description

Jobgether SRL is searching for a Staff Application & Product Security Engineer based in the United States. You will own security across SaaS and customer-hosted products, embedding security in architecture, threat modeling, and release processes.

You will build automated guardrails, lead security enablement, and coordinate with executives to strengthen product security, including AI security for LLM-enabled features.