Lead the transformation of the Claims operational model into an AI-native ecosystem.
Design, implement, and continuously optimize a hybrid operating model that blends AI agents and human operators.
Partner with operational leaders to reimagine service delivery through AI-native design principles.
Define orchestration models and accountability frameworks for hybrid human–AI work.
Implement monitoring frameworks to track AI agent performance, data quality, cost, and drift.
Collaborate with compliance and risk partners for safe AI use.
Partner closely with Product, Engineering, and Data teams.
Build programs to elevate AI fluency across the Claims organization.
Lead pilots and structured experiments to test new agentic patterns and workflows.
Define and track KPIs for human–AI collaboration.
Requirements
Deep understanding of AI systems, automation platforms, and LLM-based agent orchestration frameworks with 1+ years of hands-on experience applying generative AI in real-world workflows, products, or operational use cases.
Proficiency with data, analytics, and business intelligence platforms (e.g.,Snowflake or Looker).
Background in technology, operations, or process re-engineering, ideally within a scaled service or technical environment.
Excellent communication skills with the ability to influence across disciplines.
Proven ability to build strong cross-functional relationships.
Proven ability to leverage complex data sets to inform strategic initiatives, while articulating compelling, data-driven narratives that drive organizational vision.
Bachelor’s degree required, or equivalent work experience.
Benefits
Employer sponsored health, dental and vision plan with low or no premium
Generous paid time off
$100 monthly mobile or internet stipend
Stock options for all employees
Bonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles