The posting
We are looking for a Product Manager, Private Credit to join our New York City office. In this role you will own a part of this product from the first client conversation to the shipped feature. You will use AI to build prototypes that prove an idea before production code is written, then use those prototypes and the working product to guide our developers and designers.
Responsibilities:
- Use AI tools to turn an idea into something that works within hours: a clickable screen, a calculation, a data model, a script run against real sample data.
- Guide developers and designers with working software. Your prototype is the starting point and your acceptance tests are the finish line.
- Own hard workflows end to end. Learn how an agent notice, a borrowing base certificate or a month-end close really gets done today, then design the flow that replaces the spreadsheets and the manual checks.
- Shape the strategy and roadmap for your area: who we serve first, what to build next, and how each piece fits into one connected platform.
- Read loan agreements, check the calculation, trace a reconciliation break to the exact transaction, and write the rules and test cases that engineers can run.
- Define the metrics, analyze data quality and usage, size opportunities, and make the case for your priorities with evidence.
- Run discovery with insurers, asset managers, accountants and operations teams, and turn what you learn into product decisions.
- Partner with engineering, design, data, sales and client service leaders to sequence delivery, manage trade-offs and keep a clear line from client problems to released outcome.
- Set the bar for quality in your area: define what “correct” means for calculations, reconciliations and AI outputs, and make sure it is tested before and after release.
Requirements:
- Bachelor’s degree in Computer Science, Finance, Statistics, Economics, or Accounting.
- 7+ years of private credit domain experience, in a product, operations, technology, portfolio management, fund administration, servicing or finance role.
- Experience across loan types, including whole loans and structured credit (CLOs, ABF, asset-backed facilities, and similar).
- Working knowledge of direct lending, including; unitranche, revolvers, delayed draw term loans, and club and syndicated deals.
- Hands-on understanding of the loan lifecycle: origination, closing, funding, 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 the agent and lender communication flow, including notices, rate resets, draw requests and payment allocations, and the operational risks around them.
- Understanding of fund accounting and reporting for private credit, including NAV, valuation, accruals, cash and position reconciliation, investor reporting and audit support.
- Familiarity with how insurers, asset managers, administrators and auditors each consume and rely on the same underlying data.
Product and Technical Skills
- Experience building systems or solutions that solved end-to-end private credit pain points and streamlined the workflow, with a track record of shipping them to production and measurable adoption.
- Demonstrated ability to translate complex financial documents and workflows into precise requirements, business rules and test cases.
- Strong working skill with data: SQL and spreadsheets at a minimum, with the ability to analyze data quality, identify reconciliation breaks and size opportunities. Python or similar scripting is strongly preferred.
- Hands-on experience using AI tools to prototype, write scripts, analyze data and draft specifications, with good judgment about where AI is reliable and where human review is required.
- Experience defining acceptance criteria and working with engineers on automated testing, data validation and release readiness.
- Familiarity with data modeling, APIs, integrations and the data feeds common in private credit (administrator, custodian, agent bank and portfolio system data).
- Experience designing workflows, including review queues, exception handling, audit trails and controls.
Leadership and Communication
- Proven record of leading discovery directly with senior client stakeholders, and turning findings into prioritized roadmaps.
- Ability to set product strategy for an area, make the business case with data, and align executives and cross-functional teams around it.
- Excellent written and verbal communication, with the ability to explain complex credit and accounting concepts clearly to engineers, designers, and clients.
- Experience mentoring or informally leading other product managers, analysts or domain specialists.
Preferred:
- An MBA, CFA or CPA is a plus.
- Prior experience at a private credit manager, fund administrator, loan servicer, agent bank, insurer or fintech serving them.
- Experience with loan administration or portfolio management platforms, or with CLO and structured credit analytics.
- Exposure to regulatory, audit and compliance requirements affecting private credit reporting (for example, SOC controls, NAIC reporting for insurers, or valuation policies).
- Experience with evaluation approaches for AI systems, such as test sets, accuracy measurement and review of model output against source documents.
Salary Range
$156,400.00 - $210,841.00
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
