Staff Fullstack Product Software Engineer, Dash

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

Staff Fullstack Product Software Engineer at Dropbox to design, develop, and maintain AI-powered software applications, working with cross-functional teams to drive user engagement and business growth. The role involves defining growth strategies, leading software solution delivery, establishing best practices, and mentoring engineers, with a focus on building new AI products.

What you'd actually do

  1. Collaborate with product managers and other engineering teams to understand business requirements and translate them into technical specifications for AI-powered software applications.
  2. Define and deliver the multi-team growth strategy with measurable outcomes through ownership of product capabilities and technical systems
  3. Lead the design and delivery of software solutions across specific product areas or multi-component systems
  4. Establish engineering best practices, improve system reliability, and drive down technical debt
  5. Collaborate with cross-functional teams to balance technical requirements with business goals

Skills

Required

  • 12+ years of relevant experience
  • BS/BA degree or higher in Computer Science or related technical field, or equivalent technical experience
  • Strong problem-solving skills
  • Ability to translate user requirements into practical solutions
  • Ability to work across the stack on projects
  • Able to build a minimum working product quickly
  • Experience working on large scale user facing applications
  • Excellent communication skills
  • Ability to collaborate effectively with cross-functional teams
  • Ability to present technical concepts to non-technical stakeholders

Nice to have

  • Prior experience on a product growth team
  • Experience at building user-facing applications on web and/or desktop using front-end technologies such as JavaScript, TypeScript, React, HTML5, CSS3
  • Strong proficiency in backend development technologies such as Golang and Python
  • Experience building large distributed systems at scale

What the JD emphasized

  • AI-powered software applications
  • AI products
  • building 0→1
  • Comfortable with ambiguity and pivoting directions

Other signals

  • AI-powered software applications
  • personalized AI-powered experiences
  • next generation of AI products