Staff Fullstack Software Engineer, Core Performance

Dropbox Dropbox · Enterprise · Canada +1 · Eng - Growth (Sub Team)

Staff Fullstack Software Engineer on the Growth Monetization team at Dropbox. This role focuses on optimizing customer discovery, trial, and purchase systems, directly impacting revenue growth and customer retention. The engineer will lead technical strategy, architect and build AI-forward solutions for personalization, conversion optimization, and churn reduction, and mentor a team of 15 engineers. The role involves full-stack development with an emphasis on AI/ML applications in monetization.

What you'd actually do

  1. Lead the design and implementation of scalable, reliable systems powering Dropbox's monetization flows (checkout, trials, subscriptions, pricing)
  2. Define and drive the technical roadmap for Growth Monetization, aligning engineering investments with business priorities
  3. Architect AI/ML-powered solutions for conversion optimization, personalized offers, and predictive churn modeling
  4. Own end-to-end delivery of complex, cross-functional projects with direct revenue impact
  5. Establish engineering best practices, improve system reliability, and drive down technical debt

Skills

Required

  • 12+ years of software engineering experience
  • 3+ years operating at a senior or staff level
  • Strong full-stack engineering skills
  • modern frontend frameworks (React, TypeScript)
  • 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
  • ability to balance technical excellence with business impact

Nice to have

  • 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)

What the JD emphasized

  • AI/ML-powered solutions
  • personalize the customer journey
  • optimize conversion funnels
  • reduce churn
  • predictive churn modeling

Other signals

  • AI/ML-powered solutions for conversion optimization
  • personalize the customer journey
  • optimize conversion funnels
  • reduce churn
  • predictive churn modeling