The Senior Technical Product Manager will define end-to-end AI system requirements and translate model capabilities into clear product decisions. They will collaborate closely with engineering teams to balance quality, latency, cost, and reliability while driving product execution.
You will be responsible for identifying opportunities to improve internal workflows across various departments by building and deploying AI-powered tools. This role involves managing the end-to-end product lifecycle, from initial concept and design to production and iteration.
You will build and operate backend systems that power AI-driven decisioning, automation, and orchestration. This involves designing inference pipelines, optimizing service performance, and ensuring the reliability of AI workflows in production.
The Applied AI Engineer will design, build, and optimize AI-powered features integrated directly into insurance product workflows. They will collaborate with cross-functional teams to develop LLM-based interactions, automation, and decision-support systems that are reliable and measurable.
The engineer will build and evolve mobile applications for insurance and financial products using Swift. They will also integrate AI-assisted capabilities to improve user experience and operational efficiency.
The Android Software Engineer will build and maintain production-grade mobile applications while integrating AI-assisted capabilities to improve user experience. They will collaborate with cross-functional teams to ensure application performance, scalability, and security across insurance and financial products.
You will build and operate the infrastructure and platforms that power AI products, including model training, deployment, and inference. You will also collaborate with researchers and engineers to optimize system performance, scalability, and cost-efficiency.
The Product Engineer will define end-to-end requirements for AI capabilities and translate model performance into actionable product decisions. They will collaborate with engineering teams to design systems, establish quality metrics, and iterate on AI-powered features.
