We shape decisions that affect the entire platform - not just individual features. We work across core rating infrastructure, deployment architecture and new product creation simultaneously, spending significant time in customer discovery calls to understand how actuaries and underwriters actually work. The complexity comes from balancing what we learn in those conversations with technical constraints, commercial opportunity and decisions that ripple across multiple teams and market segments.

You run deep customer discovery to understand workflows, pain points and underlying needs before solutions get defined. AI helps you explore solution space early, generate prototypes and draft PRDs - but the insight comes from actual customer calls, not documents. You interrogate the codebase to understand what's technically possible, then validate ideas with customers before committing engineering resources.

Product at hx works on taking the platform into new insurance segments and geographies. We balance the needs of existing customers with the requirements of entirely new markets - understanding different regulatory environments, pricing approaches and underwriting cultures, then translating those into product decisions that work at scale.

Product works closely with customers, AI engineers and domain experts to define where AI meaningfully improves customer workflows. We spend time understanding how actuaries and underwriters make decisions, what they need to trust AI outputs, and where automation adds real value versus creating new problems. The challenge is designing AI features grounded in customer reality, not internal assumptions.