Founding Engineer - AI-Driven Trucking Insurtech

Corgi Insurance Inc.

Massachusetts

On-site

USD 125,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Equity
Health, dental, and vision
In-office in Boston or San Francisco
Up to 30% bonus

Job summary

Corgi Insurance Inc. is building its trucking insurance platform from the ground up in an on-site role in Boston or San Francisco.

You will own critical systems end-to-end, from data models and APIs to deployment, tackling real-world data and delivering reliable, scalable software that directly impacts underwriting and policy lifecycle. You’ll work on quoting, binding, and servicing trucking policies, with emphasis on ML-powered underwriting, telematics integration, and data pipelines, while

Qualifications

  • 3–5 years building and shipping production software.
  • Experience owning systems end-to-end from data models to deployment.
  • Comfortable working across the stack and picking the right tool for the problem.
  • Experience using modern AI tools in production and understanding their limits.

Responsibilities

  • Develop core systems for quoting, binding, issuing, and servicing trucking policies.
  • Build scalable, performant APIs and data pipelines for underwriting models.
  • Create producer/broker experiences for submissions, quotes, endorsements, and renewals.
  • Develop telematics pipelines from ELD and dashcam data to signals.
  • Build internal tools for underwriting, claims, and operations.

Skills

End-to-end ownership
AI in production
APIs & data pipelines
Production software
Product judgment
Ownership

Tools

APIs

Job description

Corgi Insurance Inc. is building its trucking insurance platform from the ground up in an on-site role in Boston or San Francisco.

You will own critical systems end-to-end, from data models and APIs to deployment, tackling real-world data and delivering reliable, scalable software that directly impacts underwriting and policy lifecycle. You’ll work on quoting, binding, and servicing trucking policies, with emphasis on ML-powered underwriting, telematics integration, and data pipelines, while

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