12+ years of software engineering experience with 3+ years operating at a senior or staff level
Strong full-stack engineering skills with proficiency in 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
Requirements:
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
Job description
Role Description
As a Staff Software Engineer on the Growth Monetization team within Core Growth Engineering, you will play a crucial role in optimizing how millions of users discover, trial, and purchase Dropbox products. You'll lead technical strategy for our checkout, trial, conversion, and subscription systems—directly impacting revenue growth and customer retention.
This is a high-visibility, high-impact role where you'll architect and build AI-forward solutions to personalize the customer journey, optimize conversion funnels, and reduce churn. You'll partner closely with Product, Data Science, and Design to define the future of Dropbox monetization while mentoring a team of 15 engineers across experience levels.
Your work will have immediate, measurable business impact. You'll get substantial exposure to Growth leadership, shape the technical direction of a critical revenue-driving platform, and help build a best-in-class monetization engineering practice.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
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)
