Staff Fullstack Software Engineer, Growth Monetization

Dropbox is a global community dedicated to shaping the future of work through innovative technology. As a Staff Software Engineer on the Growth Monetization team, you will optimize user experiences and lead technical strategies that drive revenue growth and customer retention through AI-powered solutions.

Responsibilities:

• Lead the design and implementation of scalable, reliable systems powering Dropbox's monetization flows (checkout, trials, subscriptions, pricing)
• Define and drive the technical roadmap for Growth Monetization, aligning engineering investments with business priorities
• Architect AI/ML-powered solutions for conversion optimization, personalized offers, and predictive churn modeling
• Own end-to-end delivery of complex, cross-functional projects with direct revenue impact
• Establish engineering best practices, improve system reliability, and drive down technical debt
• Mentor engineers across the team, fostering growth and elevating technical capabilities
• Partner with Product, Data Science, and Design to translate business goals into technical solutions

Requirements:

• 12+ years of software engineering experience, with 3+ years operating at a senior or staff level
• Strong full-stack engineering skills with proficiency in modern frontend frameworks (React, TypeScript) and backend technologies (Python, Go, or similar)
• Demonstrated ability to lead complex technical projects from conception through delivery
• Experience designing and scaling systems that handle high traffic and require high reliability
• Track record of influencing technical strategy and driving architectural decisions beyond immediate team scope
• Proven ability to mentor engineers and raise the technical bar across a team
• Strong product intuition and ability to balance technical excellence with business impact
• Experience with monetization, payments, checkout, or e-commerce platforms
• Background in growth engineering, conversion optimization, or experimentation platforms
• Familiarity with ML/AI applications in personalization or funnel optimization
• Experience with subscription-based or SaaS business models
• Prior experience at a company operating at significant scale (millions of users)