You will lead the platform and AI engineering teams to build scalable infrastructure and developer tooling that supports the entire engineering organization. You will also partner with cross-functional leadership to align technical strategy with business outcomes and drive the AI platform roadmap.
You will set the technical direction for AI-enabled systems and lead cross-team initiatives to build reliable, scalable AI infrastructure. Additionally, you will partner with product teams to translate user workflows into reusable AI capabilities while mentoring technical staff.
Lead the design, development, and oversight of the customer lifetime value modeling ecosystem while serving as a senior technical leader. Partner with cross-functional teams including machine learning engineers and business stakeholders to drive marketing, product, and financial decisions.
The Lead Data Scientist will develop and maintain telematics pricing and underwriting models while managing the associated data engineering and production systems. This role involves the full lifecycle of telematics models, from raw data ingestion and feature engineering to production deployment and regulatory support.
The Principal will lead capital modeling, enterprise risk management, and reinsurance activities while collaborating with cross-functional teams to align financial strategy. They will also conduct monthly reserving analyses, support regulatory filings, and contribute to process automation and actuarial tool development.
The Principal Software Engineer will lead engineering efforts within a product domain, driving large-scale strategic initiatives and aligning teams around high-value goals. They will also establish technical standards, mentor engineering leaders, and collaborate with cross-functional stakeholders to ensure successful execution.
The Engineering Manager will lead and grow the AI Platform and AI Enablement teams to build infrastructure and integrations for AI capabilities. They will also establish engineering standards for AI deployment and partner with cross-functional teams to execute the AI engineering roadmap.
You will lead the development of machine learning models for marketing optimization and bidding strategies across various distribution channels. Additionally, you will mentor junior team members and collaborate with cross-functional departments to deliver high-impact, production-ready solutions.
You will lead complex technical initiatives and architectural decisions to ensure the scalability and reliability of financial data pipelines. Additionally, you will partner with cross-functional teams to define strategy and mentor engineers to advance the team's technical impact.
Lead the development of shared AI infrastructure, tools, and operational patterns to ensure reliable and secure AI capabilities across the company. Set technical priorities and coordinate cross-functional teams to balance immediate user needs with long-term foundational investments.
You will lead the architectural design and development of a scalable machine learning platform to accelerate pricing R&D and production workflows. This involves collaborating with researchers to build robust infrastructure for feature stores, model orchestration, and automated deployment while mentoring senior engineers.
The Senior Security Engineer will lead the data security domain by establishing strategies, standards, and controls for protecting sensitive data across its lifecycle. They will collaborate with cross-functional teams to embed security into data pipelines and automate workflows while ensuring regulatory compliance.
You will lead the engineering strategy for build and deploy systems to improve developer productivity and deployment safety. You will also collaborate with cross-functional teams to design scalable infrastructure and mentor engineers to drive technical excellence.
