Dropbox

Principal Software Engineer at Dropbox responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in AI, ML, Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences. The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies. The role also involves providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning.

Principal Software Engineer at Dropbox focused on core sharing and collaboration, with a significant emphasis on applying AI and LLMs to improve customer value and engineering workflows. The role involves defining long-term technical strategy, architecting foundational systems, and hands-on software development for consumer-facing products used by millions. Requires practical experience with modern ML, LLM APIs, and agentic frameworks in production, with a focus on quality, cost, and risk.

Technical Architect role focused on Go-to-Market (GTM) systems, defining how platforms like Salesforce, marketing automation, and customer success tools integrate and function. The role involves translating business strategy into scalable system design, ensuring data quality, system integrity, and long-term maintainability. It also includes defining how AI is embedded into GTM workflows, such as agent assist and seller workflows, and evaluating AI tools in the context of the broader ecosystem.

Principal Software Engineer to define and build the next-generation identity platform powering Dropbox’s product ecosystem, enabling AI-powered workflows and intelligent, agent-driven experiences.

Staff Data Engineer focused on modernizing Dropbox's analytics platform, building reusable data models, and integrating AI-native tooling for data development and exploration. The role emphasizes driving standardization, data governance, and cross-functional alignment.

Staff Data Engineer to modernize Dropbox's analytics platform, build shared data models, and integrate AI-native tooling for data development. Focus on standardization, governance, and pipeline architecture.

Staff Fullstack Software Engineer on the Growth Monetization team at Dropbox, responsible for optimizing customer discovery, trial, and purchase systems. The role involves leading technical strategy for checkout, trial, conversion, and subscription systems, impacting revenue growth and customer retention. It requires architecting and building AI-forward solutions for personalization, conversion optimization, and churn reduction, while mentoring a team of 15 engineers. The role has high visibility and direct business impact on a critical revenue-driving platform.

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.

Technical Architect for Go-to-Market (GTM) TechOps at Dropbox, focusing on system design and integration across various platforms (Salesforce, marketing automation, customer success, support, data, and AI stack) to power the customer lifecycle. The role involves translating business strategy into scalable system design, ensuring buildability, adoption, and durability, and defining how AI is embedded into GTM workflows.

Staff Backend Product Software Engineer for Dropbox's Commerce Platform, focusing on building and evolving systems that power monetization across all sales motions. Responsibilities include owning and influencing systems spanning CRM, CPQ, Billing, and their integrations, driving improvements in platform architecture, system simplification, and data consistency. The role involves technical strategy, modernization, reliability measurement, and evaluating tradeoffs between business needs and platform health, operating at the intersection of engineering, Sales, and Finance.

Staff Backend Product Software Engineer for Dropbox's Commerce Platform, focusing on building and evolving systems that power monetization across all sales motions. Responsibilities include owning and influencing systems spanning CRM, CPQ, Billing, and their integrations, driving technical strategy, modernization efforts, and ensuring system reliability and data integrity. The role operates at the intersection of engineering, Sales, and Finance, with high visibility and ownership over revenue-impacting decisions.

Staff Backend Product Software Engineer for Dropbox's Commerce Platform, focusing on building and evolving systems that power monetization across all sales motions. This role involves owning and influencing systems spanning CRM, CPQ, Billing, and their integrations, driving improvements in platform architecture, system simplification, and data consistency. The engineer will define and drive technical strategy for complex, revenue-critical platforms, balancing short-term needs with long-term health, and operating at the intersection of engineering, Sales, and Finance.

Principal Software Engineer to define and build the next-generation identity platform powering Dropbox’s product ecosystem. This platform is central to user onboarding, collaboration, enterprise integrations, and AI-powered workflows. The role involves setting technical vision, leading architectural evolution of identity systems (authentication, authorization, account lifecycle, delegated access), and partnering with Product, Security, Infrastructure, and AI teams to build secure, scalable systems that enable intelligent, agent-driven experiences. This is a high-impact, company-level role shaping trust, access, and control across Dropbox.

Data Engineer role focused on building large, scalable analytics pipelines from scratch using modern Big Data technologies like Spark and Databricks. Responsibilities include defining data assets, designing integrations and quality frameworks, and collaborating with business units and engineering teams on data platform architecture. Requires extensive experience with Spark, SQL, and data modeling.

Dropbox is hiring a Data Engineer for their Analytics Data Engineering team. This role involves building large, scalable analytics pipelines from scratch using modern Big Data technologies, focusing on data modeling, Spark jobs, data integrations, and data quality frameworks. The engineer will collaborate with business units and other engineering teams to define data platform architecture and conceptualize data architecture for large-scale projects. Responsibilities include designing, building, and optimizing data models, visualizations, and pipelines to support various use cases. The role requires significant experience with Spark, Python/Java/Scala, SQL, schema design, dimensional data modeling, medallion architectures, and the Databricks platform. Experience with orchestration frameworks like Airflow and data quality monitoring tools is preferred. The role is part of a team that may have on-call rotations.

Staff Backend Product Software Engineer at Dropbox, focusing on optimizing activation and engagement flows for team users. This role involves leading technical delivery, shaping technical direction, owning ambiguous problems, and being a hands-on coder for foundational systems. The goal is to modernize onboarding, build intelligent systems to boost team activation and engagement, and reduce churn.

Staff Backend Product Software Engineer at Dropbox, focusing on optimizing activation and engagement flows for team users. This role involves leading technical delivery, shaping technical direction, owning ambiguous product problems, hands-on coding of critical components, influencing roadmaps, architecting foundational systems, and mentoring senior talent. The team will modernize onboarding, clean up core surfaces, and build intelligent systems to boost team activation and engagement, ultimately aiming to reduce churn.

Infrastructure Engineer role focused on building and scaling robust systems for metadata management, data fabric expansion, and analytics platform optimization. The role involves collaborating with cross-functional teams to enhance performance, reliability, and security of the platform, impacting millions of users globally. Requires strong software development experience in backend systems and proficiency in languages like Python or Go.

Infrastructure Engineer role focused on building and managing robust systems for data management, scalability, and reliability, supporting core products and future innovations. Responsibilities include handling massive file metadata, expanding the data fabric, optimizing analytics platforms, and collaborating with cross-functional teams. Requires significant software development experience with backend systems and proficiency in multiple programming languages.