Senior Product Manager, Engagement & Promotions

Dave is a financial app focused on building affordable, transparent, and user-centric products that improve financial access. The Senior Product Manager, Engagement & Promotions will own the promotions and engagement roadmap, using experimentation, personalization, machine learning, and cross-functional collaboration to drive member retention and engagement.

Responsibilities:

• Set the vision, deliver the results: Own Dave's promotions and engagement roadmap end to end — new promotion types, app home screen experience, and personalization. Decide where ML drives selection and timing, so the right offer goes to the right user at the right time
• Ship with speed and conviction: Get ML-driven promotions live and learning quickly, then extend into durable engagement surfaces that guide members' finances and earn their loyalty
• Enable flawless execution: Act as the connective tissue across Engineering, Data, Marketing, and Operations, ensuring alignment on priorities, clarity on plans, and efficient execution toward business outcomes
• Build a culture of evidence: Build and maintain the experimentation frameworks and infrastructure that let the team test promotion and engagement hypotheses fast, with clean incrementality and honest readouts
• Stay ahead of ML and AI evolution: Track what's changing in applied ML and AI and translate it into practical product decisions — sharper targeting, better timing, and more useful guidance for members

Requirements:

• • 5+ years of experience in Product Management owning engagement, retention, or loyalty programs in a high-volume B2C technology-driven environment
• • Experience working closely with senior leaders, including C-suite, to propose, refine, and ship new initiatives
• • Analytical hunter mindset with strong judgment - able to cut through the noise in complex data to surface insights and drive decisive action
• • AI-driven curiosity - fluent in applying AI to real product work beyond the basics (e.g., idea generation, data analysis, workflow automation), with the instinct to make teams and leaders smarter through creative AI use cases
• • Technical curiosity and fluency; a Bachelor's degree in a technical field is a plus
• • Experience building recommendation engines or ML driver promotion services
• • Experience working in consumer fintech, especially in short-term lending