Jobs at PolicyMe

Own end-to-end recruiting for technical and business roles, partnering with hiring managers on requirements, interviews, candidate evaluation, and offers. Build sourcing strategies through LinkedIn Recruiter, Juicebox, referrals, events, and communities. Maintain ATS data and recruiting dashboards, track funnel metrics, improve processes, and reduce hiring friction. Support employer branding through careers content and LinkedIn updates while delivering an inclusive candidate experience.

Support customers and advisors throughout the life insurance application and policy lifecycle. Manage underwriting caseloads, coordinate medical exams, order and track requirements, handle calls and emails, monitor payments, report decisions to MIB, process policy updates, maintain accurate records, and collaborate cross-functionally on customer service and process improvements.

Develop full-stack features for an AI-powered web application using Python, React, Redux, PostgreSQL, and AWS. Integrate AI models and APIs for document processing, data extraction, and recommendations; build scalable backend services and intuitive interfaces. Participate in architecture planning, code reviews, release planning, cross-team initiatives, and AI experimentation. Collaborate with senior engineers, QA, and other teams while taking increasing ownership of feature development.

The Principal Product Manager will define product vision, roadmap, and strategy, ensuring operational excellence while delivering exceptional customer experience and measurable outcomes through cross-functional collaboration.

As an AI-Driven Full Stack Engineer, you'll design and implement features for an AI-powered web application, working across the stack and integrating AI models to transform insurance processes.

Lead full‑stack development of an AI‑driven web application, designing architecture and end‑to‑end AI/ML systems. Build features across front end and back end, ensure security, scalability, and observability, prototype ML innovations, mentor engineers, and partner with product, design, and business teams to drive technical decisions and delivery.

Lead and grow a team of full‑stack and AI engineers to design, build, and deploy scalable, secure cloud‑based AI systems (NLP, CV, recommendations). Oversee architecture, development, cross‑functional delivery, and foster continuous learning and best practices for production ML/AI.