Principal Software Engineer, Product Engineering

• Own and drive technical outcomes across multiple teams and organizations, delivering company critical customer and business impact at scale.
• Define long term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.
• Tackle the most ambiguous and far reaching technical and product problems, shaping what the company builds as much as how it builds it.
• Remain deeply hands on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.
• Influence and align roadmaps across organizations, resolving structural bottlenecks and changing how Dropbox builds and operates.
• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.
• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment
• Drive AI adoption both to increase productivity and to produce AI based features.

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.
• 15+ years of experience designing, building, and evolving large scale software systems with sustained impact across multiple teams or organizations.
• Demonstrated success operating at a Principal level, owning company critical technical problems and influencing long term technical direction.
• Strong experience building consumer facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.
• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.
• Practical experience applying modern ML, LLM based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.
• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

• Experience defining and scaling company wide platforms or architectural standards that are adopted across multiple organizations.
• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.
• Experience operating in highly distributed, virtual first engineering organizations at global scale.

AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:

• Awareness: Understand yourself and others.
• Judgment: Evaluate information and make decisions in complex situations.
• Adaptability: Learn, adjust, and stay effective through change.
• Connection: Communicate, collaborate, and build trust.

To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser.