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3 дня назад

Product Manager, Private Credit (AI)

156 400 - 210 841$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager, Private Credit (AI): Building private credit workflows and connected platform capabilities with an accent on loan lifecycle automation, financial calculations, reconciliations, and AI-assisted prototyping. Focus on translating loan agreements and operational workflows into precise product requirements, test cases, data models, and reliable production software.

Location: Office - New York, United States of America

Salary: $156,400.00–$210,841.00 per year

Company

hirify.global develops analytics and software solutions for investment and private credit workflows.

What you will do

  • Own private credit product areas from client discovery through shipped features, prototypes, acceptance tests, and release.
  • Use AI tools to build clickable screens, calculations, data models, scripts, and specifications before production development.
  • Design workflows for loan administration, borrowing base certificates, agent notices, reconciliations, month-end close, exceptions, controls, and audit trails.
  • Shape product strategy and roadmap, define metrics, analyze data quality and usage, size opportunities, and prioritize with evidence.
  • Read loan agreements, define calculation and business rules, trace reconciliation breaks, and establish quality standards for calculations, reconciliations, and AI outputs.
  • Lead discovery with insurers, asset managers, accountants, operations teams, and senior stakeholders while partnering with engineering, design, data, sales, and client service.

Requirements

  • Bachelor’s degree in Computer Science, Finance, Statistics, Economics, or Accounting.
  • 7+ years of private credit domain experience in product, operations, technology, portfolio management, fund administration, servicing, or finance.
  • Experience across whole loans and structured credit, including CLOs and asset-backed facilities; working knowledge of direct lending, unitranche, revolvers, delayed draw term loans, club deals, and syndicated deals.
  • Hands-on understanding of the loan lifecycle from origination, closing, and funding through servicing, amendments, paydowns, restructurings, and workouts.
  • Fluency in loan agreement mechanics, including interest and fee calculations, PIK toggles, covenants, borrowing base and eligibility criteria, and waterfall or priority-of-payments logic.
  • Familiarity with agent and lender communications, notices, rate resets, draw requests, payment allocations, and related operational risks.
  • Understanding of private credit fund accounting and reporting, including NAV, valuation, accruals, cash and position reconciliation, investor reporting, and audit support.
  • Experience building and shipping production systems or solutions for private credit workflows with measurable adoption.
  • Ability to translate financial documents and workflows into precise requirements, business rules, acceptance criteria, and test cases; experience with automated testing, data validation, and release readiness.
  • Strong data skills including SQL and spreadsheets; ability to analyze data quality, identify reconciliation breaks, and size opportunities. Python or similar scripting is strongly preferred.
  • Hands-on AI tool usage for prototyping, scripting, data analysis, and specification drafting, with judgment about reliability and required human review.
  • Familiarity with data modeling, APIs, integrations, administrator, custodian, agent bank, and portfolio system data, plus review queues, exception handling, audit trails, and controls.
  • Ability to lead discovery, set product strategy, build data-based business cases, align executives and cross-functional teams, communicate complex credit and accounting concepts clearly, and mentor or informally lead product managers, analysts, or domain specialists.

Nice to have

  • MBA, CFA, or CPA.
  • Experience at a private credit manager, fund administrator, loan servicer, agent bank, insurer, or fintech serving these organizations.
  • Experience with loan administration or portfolio management platforms, CLO and structured credit analytics, or regulatory, audit, and compliance requirements such as SOC controls, NAIC reporting, or valuation policies.
  • Experience evaluating AI systems through test sets, accuracy measurement, and comparison of model outputs with source documents.

Culture & Benefits

  • Full-time position based in the New York City office.
  • Benefits include health, vision, and dental insurance; 401(k); PTO; parental and medical leave; and short- and long-term disability insurance.

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