Teams at Applied Systems

Lead product vision, strategy, adoption, roadmap prioritization, user research, metrics, and cross-functional execution for an AI-powered B2B insurance submissions platform. Partner across design, engineering, marketing, customer experience, and operations; manage integrations with adjacent products; resolve dependencies; communicate strategy and outcomes to senior leadership; and mentor other product managers.

Lead full-cycle recruiting for Product teams, partnering with Product leaders on workforce planning, sourcing, talent assessment, hiring strategy, and candidate experience. Build pipelines for Product Management, Operations, Design, and Leadership roles; provide market and compensation insights; use recruiting metrics to improve hiring outcomes; maintain ATS data integrity; implement scalable processes; and mentor recruiting teammates.

Define and govern enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, and AI use cases. Establish standards for data quality, lineage, access, cataloging, governance, observability, and SLAs. Architect AI-enabled workflows, resolve complex architecture issues, influence roadmaps, and mentor engineers through hands-on technical leadership. The role requires 15+ years of software, data engineering, or architecture experience and expertise in large-scale data platforms and modeling.