Principal Software Engineer, Core Sharing & Collaboration
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About This Role
The Principal Software Engineer at Dropbox owns company-critical technical problems, defines long-term technical direction, and drives execution standards. This role operates at the intersection of technology, product, business strategy, and applied AI, influencing senior technical and product leaders across boundaries. The Principal Engineer leads the introduction and adoption of AI across product capabilities and engineering workflows, contributing directly through critical design, prototyping, and code reviews. This role shapes systems and platforms, including AI-powered foundations, and acts as a company-level technical strategist. The Principal Engineer remains hands-on in software development, owning and implementing critical parts of the system.
Key ResponsibilitiesAI-extracted
- 1Own and drive technical outcomes across multiple teams and organizations, delivering company-critical customer and business impact at scale.
- 2Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.
- 3Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.
- 4Architect and evolve foundational systems and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.
- 5Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.
RequirementsAI-extracted
- 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.
- Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.
Perks & BenefitsAI-extracted
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