Mortgage Originations Process Specialist

Kastle (YC S24)

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Equity
Medical coverage
401(k)
Company meals
Offsites

Job summary

Kastle is building the AI employee for consumer lending in San Francisco. We seek a mortgage originations expert to map end-to-end workflows across origination, processing, and closing, and to define every touchpoint and data move between LOS, POS, and related systems.

You will run QA and error triage, feed structured corrections back to engineering, and build edge‑case datasets to improve AI reliability. Be the domain expert in the room during customer go‑lives on an early, fast‑moving team

Qualifications

  • 5+ years in mortgage originations in an operational role.
  • Experience with multiple loan types: conforming, jumbo, non-QM, FHA/VA.
  • Hands-on with LOS systems (Encompass, Empower) including config and data flow.
  • Technical: comfortable with API docs, data schemas, JSON/XML payloads.
  • Familiarity with Postman is a plus.

Responsibilities

  • Map mortgage originations end to end across all workflows and systems.
  • Run QA and error triage; feed corrections to engineering.
  • Build edge-case datasets for AI deployment.
  • Be the domain expert for engineering, product, deployment, including at customer go-lives.

Skills

Mortgage originations
Loan origination systems
API documentation
JSON/XML payloads
Postman

Tools

Encompass
Empower

Job description

About Kastle is building the AI employee for consumer lending. We work with some of America's largest banks and mortgage lenders, helping them scale their contact center and compliance operations using autonomous AI Agents that process payments, originate loans, and help customers get a world class experience during the biggest financial decisions of their lives. We've processed over $1 billion in transactions and are backed by Y Combinator and Commerce Ventures.

About The Role
  • Map mortgage originations end to end — every workflow across origination, processing, and closing, every customer touchpoint, and every system a lender uses (LOS, POS, PPE, AUS, credit, verifications, doc prep, e-close), at a fidelity engineers and product can build directly against.
  • Run quality assurance and error triage — review live agent output, catch what's wrong, and feed structured corrections back to engineering to drive measurable quality improvements.
  • Build the edge‑case dataset that reliable AI is built on — TRID/disclosure timing, AUS interpretation, and agency‑guideline handling, especially the non‑standard cases that break a deployment.
  • Be the domain expert the engineering, product, and deployment teams rely on — including in the room at customer go‑lives.
Who you are
  • You have 5+ years in mortgage originations in an operational capacity — processor, underwriter, or originator — across multiple loan types (conforming, jumbo, non‑QM, FHA/VA), and you can work through a messy file with precision.
  • You have hands‑on experience with loan origination systems — Encompass, Empower, or similar — including how they're configured and how data moves between them, not just as an end‑user.
  • You are technically adept: comfortable reading API documentation, reasoning about data schemas, and working with JSON/XML payloads. Familiarity with tools like Postman is a big plus.
  • You are curious and relentless about identifying, triaging, and solving problems big or small, and detail is where you live.
  • You’re energized by building technology that captures and scales your own expertise — and excited to join an early, fast‑moving team building something industry‑changing.
Benefits and Perks
  • Opportunity to work with a world‑class team building a generational company that will redefine how every loan in America is made and managed
  • Competitive Compensation + Meaningful Equity
  • Robust medical, vision, & dental coverage
  • 401(K) plan offering
  • Paid Company Meals
  • Company offsites to get to know the team
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