J

January

Tech-enabled debt collection platform with ML

Head of Security Engineering

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$258k - $297k /yr

About the Job

Requirements

  • At least 6 years of experience in security, including at least 2 years in a leadership role.
  • A hands-on software or security engineering background, including personally building and operating cloud security, identity and access, and detection systems.
  • Prior experience working in a regulated industry such as financial services, healthcare, or payments.
  • A track record of setting security strategy and driving it to execution at an early- or growth-stage company, building the playbook independently.
  • Strong understanding of how AI and machine learning systems work and where they introduce risk is preferred.

Responsibilities

  • Define and own the security engineering strategy, assess real risks, and determine appropriate responses.
  • Hire, mentor, and grow the security engineering team as the function scales.
  • Lead identity and access management across the organization's systems.
  • Direct security monitoring, detection, and incident response.
  • Own security posture for AI in products and internal tools.
  • Manage cloud security architecture and guardrails, including data isolation across the multi-tenant platform.
  • Own vulnerability management end to end and partner with Engineering to integrate security into the development lifecycle.
  • Partner with the compliance function to support SOC 2, PCI, and other audit and regulatory work.

Desired Qualifications

  • Strong understanding of how AI and machine learning systems work and where they introduce risk.

About the Company

January

Tech-enabled debt collection platform with ML

January is a debt collection platform that serves creditors (banks and financial institutions) and borrowers (individuals or businesses who owe money). It uses a tech-enabled approach to improve debt recovery by applying machine learning to optimize collection strategies while prioritizing compliant, respectful interactions. The platform automates adherence to federal, state, and local regulations and increases recovery rates for creditors, reducing legal and reputational risk. Its key differentiator is combining data-driven autorecovery optimization with a personalized, human-centric approach, treating borrowers with dignity instead of treating them as numbers. The business earns revenue by charging creditors for using the platform, based on the improved recovery outcomes and lower risk. The goal is to raise recovery rates, lower risk, and set a higher standard for ethical debt collection in the financial services industry.

Company size
51-200
Company stage
Series B
Total funding
$28M
Headquarters
New York City, New York
Founded
2016

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