Staff Fullstack Software Engineer, Core Performance

Role Description

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

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

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

Preferred Qualifications

• 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)

Compensation