Security Engineer

Outmarket.AI

United States

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Equity opportunities
Flexible remote working

Job summary

Outmarket.AI is seeking a Security Engineer to take ownership of product and application security for its multi-tenant platform, overseeing sensitive insurance data management. The role encompasses building security into the development lifecycle, with responsibilities across application, cloud, and supply-chain security.

Ideal candidates will have over 4 years of experience in security engineering, especially in application security, and an ability to partner effectively with engineering teams to enhance security measures. This position offers remote-first flexibility and competitive compensation.

Qualifications

  • 4+ years of experience in security engineering focused on application security.
  • Experience with cloud-native, multi-tenant systems.
  • Knowledge of OWASP-class risks and mitigation strategies.
  • Ability to collaborate with engineers for practical security solutions.

Responsibilities

  • Drive secure SDLC practices within the engineering team.
  • Manage application security, including authz and tenant isolation.
  • Enhance cloud security posture and manage supply-chain controls.
  • Lead threat modeling and vulnerability assessments.
  • Oversee incident response and compliance initiatives.

Skills

Application security expertise
Cloud-native systems knowledge
Penetration testing
Vulnerability management

Job description

ABOUT OUTMARKET

Outmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly what we automate: quote comparisons, coverage gap and tower analysis, policy review, and proposal generation, all grounded in our customers’ own data and source-cited so teams can trust the output.

The impact is concrete. Teams save 12 to 15 hours per person every week, cut errors by roughly 65 percent, and win more business, all on infrastructure that is SOC 2 Type II certified, single-tenant, and never used to train AI models. We are an AI-first company in both what we build and how we work, shipping quickly and in close partnership with the agencies that rely on us.

WHAT YOU’LL GET
  • High-impact role with ownership from day one.
  • Competitive compensation and meaningful equity.
  • Direct collaboration with founders and real users.
  • Remote-first flexibility.
  • The opportunity to help build an AI-native product from the ground up.
ABOUT THE ROLE

We are hiring a Security Engineer to own product and application security for a multi-tenant platform handling sensitive insurance data. You will build security into how we ship, across secure SDLC, AppSec, cloud posture, and supply-chain, and lead our response when issues arise.

WHY THIS ROLE
  • Own security for a platform trusted with sensitive insurance and customer data.
  • Build security into the product from the ground up, not bolt it on.
  • Have broad scope across application, cloud, and supply-chain security.
WHAT YOU’LL DO
  • Drive secure SDLC and security-focused code review across the engineering org.
  • Own application security: authz, tenant isolation, SSRF and injection prevention, secrets management.
  • Strengthen cloud security posture (GCP IAM, egress controls) and supply-chain controls.
  • Coordinate penetration testing, threat modeling, and vulnerability management.
  • Lead incident response and advance compliance readiness (e.g., SOC 2).
WHAT WE’RE LOOKING FOR
  • 4+ years in security engineering, with strong application security depth.
  • Hands‑on experience securing cloud-native, multi-tenant systems.
  • Working knowledge of OWASP-class risks and how to prevent them in real code.
  • Ability to partner with engineers and make security practical, not blocking.
BONUS IF YOU HAVE
  • Detection & response or compliance/GRC experience.
  • Experience securing AI/LLM systems or regulated-data products.
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