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January

Tech-enabled debt collection platform with ML

Staff Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$220k - $256k /yr

About the Job

Requirements

  • Have at least 5 years of experience as a Product Manager.
  • Have owned a product strategy end to end that produced a measurable result.
  • Use data to reason and design experiments that isolate cause.
  • Be able to engage deeply with engineers about systems, not only roadmaps.
  • Use large language model tooling extensively in personal work and be willing to build company skills and workflows around it.
  • Be able to make decisions with incomplete information, identify what matters most, and gather necessary information quickly.
  • Set priorities and distinguish what should be done now from what can be done later.
  • Maintain a high quality bar and update decisions when evidence changes.
  • Be effective in high-stakes systems with legal, ethical, and financial constraints.

Responsibilities

  • Own a high-leverage product surface addressing how the company reaches consumers, communicates with them, and earns their trust.
  • For the LLM infrastructure team, develop infrastructure for consumer conversations across chat, voice, email, and text, improving borrower experiences that adapt in real time.
  • For the communications and experimentation team, develop systems for high-volume email, SMS, and letter communications and the experimentation engine behind them.
  • Develop outbound communications that optimize what to say and when through learning without human intervention.
  • Set product strategy, define experiments that validate what works, and build systems that support effective team decision-making.
  • Build new products from zero to one.
  • Work in the Nolita office at least three days per week.

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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