J

January

Tech-enabled debt collection platform with ML

Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$176.5k - $204k /yr

About the Job

Requirements

  • At least 3 years of experience building production software systems, including the ability to own complete features independently.
  • Proficiency in at least one backend programming language, such as Python, Java, Go, or a similar language, and the ability to write clean, testable code.
  • A solid understanding of APIs, databases, and web technologies.
  • Experience working effectively with product managers and cross-functional partners to deliver business outcomes.
  • Experience making technical decisions that balance delivery speed with long-term system health.
  • The ability to work on complex problems without constant direction.
  • A track record of addressing issues outside assigned scope when they block progress.
  • Experience turning ambiguous requirements into concrete solutions through clarifying questions and proposals.
  • Self-starting behavior, including seeking out problems to solve rather than waiting for assignment.
  • Clear written and verbal communication across technical and non-technical audiences.
  • Experience providing constructive code review feedback that improves team standards.
  • Comfort with documentation and real-time collaboration.
  • A track record of building trust through follow-through and transparent communication about blockers.
  • Active experimentation with AI development tools to improve productivity.
  • Openness to feedback and commitment to continuous learning.
  • Enthusiasm for emerging technologies and their practical application.

Responsibilities

  • Independently scope, design, and ship features across the stack, from targeted enhancements to multi-system integrations.
  • Make architectural decisions within the role's scope that balance long-term maintainability with immediate delivery pressure.
  • Identify and resolve technical blockers proactively, escalating strategically after reasonable options have been exhausted.
  • Translate product requirements into technical solutions, probing for edge cases and constraints that partners may not have considered.
  • Explain trade-offs between technical approaches using concrete examples, including performance implications, development time, operational complexity, and user impact.
  • Contribute to technical discussions with data-driven recommendations and push back constructively when proposals create technical debt.
  • Work effectively when requirements are unclear or changing, asking clarifying questions that expose hidden assumptions and unblock progress.
  • Reduce coordination overhead by anticipating dependencies and notifying other teams before work affects them.
  • Take ownership of problems outside the immediate scope when they block team progress.
  • Write maintainable, well-tested code that other engineers can build upon without extensive context.
  • Provide code review feedback that catches bugs and architectural issues before they compound.
  • Contribute to technical documentation and knowledge sharing that reduces onboarding friction and scales team effectiveness.
  • Use AI tools such as Cursor, Copilot, and ChatGPT to accelerate development velocity and code quality.
  • Identify opportunities for AI capabilities to improve product features or internal workflows.
  • Share learnings about effective AI usage patterns with the team.
  • Build in person at the Nolita office at least three days a week.

Desired Qualifications

  • Interest in fintech, consumer finance, or mission-driven companies.

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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