Description
As our Senior Product Manager, White Label Loyalty Partners, you’ll shape the future of loyalty experiences that delight customers, drive white label partner growth, and scale our loyalty platform business globally.
Strategy & Analysis
- Lead competitive-landscape and market analyses to identify new loyalty growth opportunities.
- Define product strategy and success metrics using quantitative methods and data-driven insights.
- Analyze user requirements and inform roadmap decisions.
Execution & Delivery
- Drive end-to-end product development: conceptualize, launch, and optimize loyalty features and solutions.
- Build and run experiments to test performance, measure impact, and iterate rapidly.
- Develop engineered processes and innovative technologies to improve organizational efficiency.
Collaboration & Influence
- Partner with Engineering, UX, Marketing, and Legal teams to deliver cutting-edge travel solutions.
- Liaise with senior internal and external stakeholders to align on vision, priorities, and go-to-market plans.
- Collaborate across regions, product areas, and functions to solve some of the world’s most difficult loyalty challenges.
Requirements
- Bachelor’s degree in technical field (i.e. Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline).
- Proven ability to leverage analytics and quantitative methods to inform and influence decision-making.
- Strong data skills.
- Bias for action to unlock business value for our partners and RTA.
- Excellent communication skills (both verbal and written in English) with proven ability to convey complex messages clearly and with conviction to different stakeholders.
- Experience developing and launching products.
- Experience leading global product vision, go-to-market strategy and design discussions.
- Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change.
- Hands-on mentality.
Nice to Have
- MBA or Master’s degree in Math, Economics, Computer Science or Statistics.
- Data tools – SQL, Python, R, or equivalent.
Benefits
In addition to a competitive base salary, roles are eligible to be considered for an annual bonus and equity grant.