# Product SME – Property Claims at Assured

- Company: Assured
- What the company does: From AI-powered capabilities to Frontier AI agents, Assured’s solutions power the entire claims lifecycle. Schedule a demo. Backed by Kleiner Perkins and ICONIQ.
- Company website: https://www.assured.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Remote
- Work setup: Remote
- Pay: $120K to $140K base salary per year (USD)
- Posted: 2026-09-15
- Apply by: 2026-10-30
- Apply: https://jobs.ashbyhq.com/assured/e5c654ca-e216-4b14-a422-eebbce2648b4
- Page: https://www.1752.vc/careers/jobs/assured-product-sme-property-claims/

## About the role

🔍 Conduct an end-to-end review of the property claims lifecycle — Examine the full claim journey (FNOL intake, inspection, coverage evaluation, cause-of-loss determination, scope and estimate development, reserving, vendor coordination, settlement, and closure), identifying friction points and automation opportunities, and explaining how the decisions and data at each stage depend on one another.

## What they're looking for

- 5+ years of hands-on P&C property claims experience, including field or desk adjusting at a major carrier, with credible responsibility for real adjudication decisions — not just adjacent exposure to claims
- A track record of assessing complex claims workflows and raw operational data, diagnosing root causes, and turning that into prioritized improvements with measurable effects on accuracy, cycle time, leakage, reserves, customer outcomes, or productivity
- Experience defining and defending practical standards for claim completeness, documentation quality, inspection/estimate accuracy, decision rationale, and core claims-data integrity, including relevant compliance or audit needs
- A demonstrated ability to find and structure high-value work on your own — when the role, inputs, or path aren't predefined, and without waiting for detailed direction
- Clear written and verbal communication: you can translate complex claims concepts into concise, usable frameworks for non-experts, and teach and advise Product and Engineering by earning credibility through evidence rather than formal authority
- Experience partnering with product, engineering, analytics/data, and claims or operational teams to turn domain expertise into workflows, requirements, reporting, automation, or product decisions

Tags: Product