About the role
Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.
Federato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done. Better decisioning is built-in, not bolted on: insurers' unique portfolio goals, strategies, rules, and appetite are part of the workflow so underwriters win the right deals, faster. From the moment a submission hits an underwriter’s inbox, AI is put to work, triaging submissions with a focus on high-appetite business, delivering real-time feedback on the portfolio, and consolidating workflows into a single proven system. Federato drives better business outcomes.
What You'll Be Doing:
- Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs
- Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers
- Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks
- Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions
- Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions
- Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution
- Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed