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Product Manager, Underwriting Specialist, Debt Solutions

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: CoStar
Full Time position
Listed on 2026-06-27
Job specializations:
  • Finance & Banking
    Underwriter, Financial Analyst, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 99000 - 133000 USD Yearly USD 99000.00 133000.00 YEAR
Job Description & How to Apply Below
Position: Product Manager, Underwriting Specialist, CoStar Debt Solutions

Job Description

CoStar Debt Solutions is building a new platform for CRE underwriting — one where credit officers, data pipelines, and AI agents work against the same shared data model. Banks, sponsors, and asset managers query, write, and collaborate on the same underlying system.

Product Manager, Underwriting Specialist

Location: Boston, in-office

We’re hiring a Product Manager, Underwriting Specialist to help us build a world‑class underwriting platform — the workflows, defaults, and decisions that decide whether a credit officer or originator reaches for our product first thing in the morning. In year one, that means partnering with our senior product team to turn underwriting scenarios into product: capital stack construction, rent roll injection, peer benchmarking, portfolio surveillance, deal counter party visibility.

Over time, it means taking on more of the surface yourself — across asset classes, customer types, and the agent workflows that increasingly run alongside the human ones.

The work starts with the underwriting judgment you’ve built. It ends with that judgment encoded into a system other underwriters run against.

What You’ll Work On
  • The underwriting workflows across the product surface — capital stack construction, rent roll ingestion, peer benchmarking, portfolio surveillance, deal counter party visibility. These exist today as scenarios; the work is helping turn them into product that originators and credit officers reach for daily. You’ll start by owning pieces and grow into owning more.
  • The default behaviors that decide whether the platform feels expert or generic — the stack heuristics the LLM proposes, the way variance gets sorted, what the system asks vs. assumes, when it surfaces uncertainty, what stays in front of a human. You’ll bring your underwriting instinct to these decisions and learn to translate it into product defaults alongside the senior PM.
  • Design‑partner relationships at two or three banks and sponsors. You will be on the calls, in the deals, and part of the team they trust to translate what they need into what gets built.
  • The boundary between “the platform can model this” and “the workflow should expose this” — working directly with engineering and product on where the line gets drawn for each new capability.
  • Contribution to the roadmap for the underwriting surface as it grows — new asset classes, new customer profiles, new agent‑driven workflows that sit alongside the human ones. You’ll bring proposals, defend them, and see them ship.
Basic Qualifications
  • Real CRE underwriting domain experience.
  • 3 or more years in a CRE underwriting, credit, or originations role with real deal reps — whether your title is Underwriter, Credit Analyst, Credit Officer, Acquisitions Associate, or something adjacent. Bank, sponsor‑side, life co, debt fund, agency, or advisory backgrounds all work if the depth is there. Domain is the highest bar for this role — it’s what we can’t substitute for.
  • A working model of how originators, credit officers, asset managers, and sponsors actually spend their days — not just the artifacts they produce, but the friction between them.
  • Bachelor’s degree from an accredited, not‑for‑profit, in‑person university or college.
  • A track record of commitment to prior employers.
Preferred Qualifications
  • Sharp judgment about what’s worth automating, what needs human‑in‑the‑loop, and what should never leave a credit committee.
  • A bias for being specific. Generic underwriting opinions are not useful here. We need someone who can say "the LLM should not propose mezz above 12% in this market without flagging it" and be right about it.
What Helps a Lot
  • Tech fluency. You don’t write production code, but you’re willing to read a schema, reason about software as a system, and learn to argue with the model when it’s wrong. Any prior exposure to working with product or engineering teams is a plus.
  • Product instinct. A growing sense for what belongs in a default, what belongs in a setting, what belongs in a warning, and what belongs nowhere erwriters who’ve built or improved internal tools — spreadsheets, models, templates — tend to develop this fast.
  • Comfort with LLM‑driven…
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