Engineering Lead - Remote Claims Platform & Pipeline

Chariot Claims

United States

Hybrid

USD 220,000 - 270,000

Full time

4 days ago
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Benefits offered by this job

Equity

Job summary

Chariot Claims is seeking an Engineering Lead to own the claims pipeline: the backbone that takes a submitted claim through eligibility, verification, and handoff to partner firms, plus the systems that connect claimants, law firms, and our team.

You will turn today’s scripts and manual steps into a reliable, observable production system and build the team around it, driving rapid experimentation and autonomous decision-making in a fast-paced AI-native environment.

Qualifications

  • Experience building and shipping production software at staff-level technical scope.
  • Track record shipping end-to-end products and owning the outcome.
  • Strong product instincts and bias toward action; comfortable making informed decisions.
  • Early-stage experience (Series A or earlier).
  • Built and grown a team, or ready to; will hire and lead from day one.
  • Bonus: real-time or event-driven pipelines; CRM/operational tooling; analytics instrumentation.
  • Stack: Go, AWS.

Responsibilities

  • Build real-time claims processing: move from prototype to dependable production stages.
  • Build systems connecting claimants and partner law firms, including dashboards and handoffs.
  • Own pipeline reliability and observability as a first-class concern.
  • Contribute to shared platform foundations, internal tooling, MCPs, and harnesses.
  • Recruit, vet, and grow the engineers on this team.

Skills

Go
AWS
Production software
Leadership

Tools

MCPs
Agent harnesses

Job description

Chariot Claims is seeking an Engineering Lead to own the claims pipeline: the backbone that takes a submitted claim through eligibility, verification, and handoff to partner firms, plus the systems that connect claimants, law firms, and our team.

You will turn today’s scripts and manual steps into a reliable, observable production system and build the team around it, driving rapid experimentation and autonomous decision-making in a fast-paced AI-native environment.

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