Building AI Products at Re:cruit: Thybrid, Awaken, Sierra Romeo

At Re:cruit, I worked across several product lines at the same time. The challenge was not coding speed; it was reducing context switching cost while maintaining quality across platforms.

Cross-Product Execution Pattern

• Use one shared platform layer for identity, analytics, and event semantics.
• Ship product-specific AI logic behind a stable service interface.
• Keep mobile and web UX alignment through reusable design and API contracts.
• Run milestone planning around user outcomes, not technical milestones.

Multi-product velocity comes from shared primitives and strict boundaries, not from heroic effort.

This structure made it possible to deliver Thybrid AI coaching flows, support Awaken mobile growth, and build Sierra Romeo backend capabilities without chaotic rewrites.