Jobs at Coalition

Lead product strategy and roadmap for Coalition's claims experience, focusing on operational efficiency, automation, and platform migrations. Partner with engineering, design, data science, and cross-functional stakeholders to build tooling, drive system migrations, define requirements, and measure impact. Use data and AI/ML-powered insights to reduce manual work, increase claims capacity, and improve broker and policyholder outcomes while managing complex, cross-team initiatives.

Lead data-driven underwriting improvements by analyzing claims, risk signals, and underwriting data; build statistical and ML models for cyber risk assessment, pricing, and automation; produce dashboards and reports; collaborate with actuarial, product, and engineering teams; mentor teammates and lead cross-functional initiatives to optimize underwriting and risk selection.

Lead labeling quality and methodology for ML at Coalition: design annotation tasks, define quality frameworks (IAA, gold standards), manage Label Studio and vendor BPOs, partner with ML/data teams, and track operational metrics to improve accuracy and throughput.

Design, build, and operate scalable backend services in Python or Go to power underwriting decisioning. Integrate statistical and ML models, implement APIs (REST, gRPC/GraphQL), ensure observability and testing, lead projects, and collaborate with product, data science, and underwriting teams to automate underwriting workflows.

The Claims Manager will oversee complex cyber claims, evaluate claims, manage litigation, maintain documentation, and collaborate with vendors and teams to provide insurance assistance.

Lead day-to-day U.S. and Canada benefits operations, support global benefits and compensation operations, improve onboarding/offboarding and People Ops workflows, build SOPs and reports, partner with vendors and cross-functional teams, and implement process and data integrity improvements.

The Capacity Program Manager will oversee operations with insurance and reinsurance partners, manage compliance, audits, and internal product development, ensuring effective communication and collaboration across teams.

Lead design, implementation, and operation of large-scale distributed scanning and data-collection services. Build and maintain services in Python and Go, improve performance, scalability, reliability, and observability, collaborate with security/product/data teams, diagnose production issues, drive architecture and roadmap decisions, and mentor engineers across a distributed team.

Lead design and execution of reinsurance pricing frameworks and actuarial models. Structure and price complex treaties, drive portfolio profitability reviews, set governance controls, collaborate with data science and engineering, and communicate pricing strategy to leadership and external partners.