Senior Principal Product Manager - MoneyLion (Rewards)

Location: Kuala Lumpur, Malaysia; onsite

Company

Gen delivers cybersecurity, online privacy, identity protection, and financial wellness products through consumer brands including Norton, Avast, LifeLock, and MoneyLion.

What you will do

• Set the direction for MoneyLion Rewards and maintain a multi-quarter roadmap.
• Define the rewards strategy used by Marketplace teams and align stakeholders on major product bets.
• Partner with partnerships teams to source and structure offers and shape their presentation in the product.
• Run experiments across earn and redeem loops to improve activation and repeat engagement.
• Define rewards metrics, analyze results, and work with engineering, design, and data to ship and iterate.
• Own rewards economics with finance and identify opportunities for trusted, personalized AI-powered offers.

Requirements

• 6+ years of product management experience, including consumer-facing products where engagement or conversion metrics were owned.
• Experience shipping consumer products and demonstrating measurable outcomes.
• Experience setting product strategy for other teams and influencing without direct authority.
• Experience with growth experimentation and learning from test results.
• Strong data fluency, including defining relevant metrics and acting on findings.
• Experience working closely with engineering, design, data, and external partners.
• Curiosity about personal finance, empathy for customer situations, systems thinking, comfort with complexity, and ability to operate when the path is not fully mapped.

Nice to have

• Fintech, loyalty/rewards, or marketplace experience.
• Exposure to rewards or promotional economics and related tradeoffs.

Culture & Benefits

• Flexible working options, time off, competitive pay, benefits, and well-being programs.
• Customer-driven environment supporting healthy debate, experimentation, and continuous learning.
• Inclusive workplace committed to fair employment practices and valuing different experiences and ideas.
• AI is treated as a teammate and used to accelerate analysis, experimentation, and iteration.

Hiring process

• TA screening call.
• Take-home case study followed by a hiring manager interview focused on the case study.