Loyalty Lead

TL;DR

Loyalty Lead (Loyalty Program): Own the end-to-end strategy, development, and optimization of the Loyalty Program to drive partner retention, booking frequency, and share of wallet growth with an accent on scalable loyalty mechanics, partner behavior analysis, and ROI-driven investment optimization. Focus on designing tiering and rewards, measuring incremental uplift and partner lifetime value, and running continuous testing and experimentation to improve long-term engagement consistency.

Company

hirify.global builds travel-related products and partner experiences.

What you will do

• Own the Loyalty Program strategy, development, and optimization to improve partner retention, booking frequency, and share of wallet.
• Design and implement scalable loyalty mechanics (tiers, rewards, point redemption, and goal-based incentives) aligned with commercial and retention goals.
• Analyze partner behavior and engagement patterns to identify loyalty-driven performance uplift opportunities.
• Measure and evaluate program effectiveness using incremental uplift, ROI, retention impact, gross margin, and partner lifetime value.
• Build reporting frameworks for loyalty initiatives, including automated performance tracking and regular business reviews.
• Run continuous testing and experimentation to improve partner engagement and long-term activity consistency.

Requirements

• Experience owning loyalty program strategy and performance optimization end-to-end.
• Strong analytical skills to evaluate partner behavior, booking activity, engagement, and program ROI.
• Ability to define business and functional requirements for loyalty mechanics and collaborate with Product and Analytics teams.
• Experience with reporting frameworks and automated performance tracking for ongoing business reviews.
• Proven ability to design scalable loyalty mechanics and optimize reward allocation to prevent misuse.

Culture & Benefits

• Focus on measurable outcomes across retention, booking frequency, and partner lifetime value.
• Data-driven approach with ongoing experimentation and continuous improvement.
• Cross-functional collaboration with Product and Analytics teams to implement program enhancements.