Top Tech Jobs & Startup Jobs in Boston, MA

The Principal Engineer will lead technical direction and execution for identity and engagement platforms, modernize systems, and mentor engineers, driving high-quality delivery and collaboration across teams.

The Principal Software Engineer at Dropbox leads technical strategy and execution on critical software systems, focusing on AI integration and product development across teams. The role requires deep technical expertise and a collaborative approach to shaping company objectives and long-term strategies.

The Staff Backend Software Engineer will design and improve scalable backend systems for Dropbox's Commerce Platform, ensuring system reliability and data consistency while influencing technical strategy and collaborating with cross-functional teams.

The role involves defining reliability strategies, leading initiatives across teams, enhancing monitoring and incident response, and mentoring engineers at Dropbox.

As a Group Product Manager, you will lead a team of Product Managers, define product strategy for Dropbox Sign, and collaborate with cross-functional teams to enhance customer experiences with document workflows.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

Design and re-architect the Identity systems at Dropbox to support multi-product capabilities, mentor junior engineers, and ensure software excellence.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

The Director of People Operations will lead a global team to enhance the employee journey through effective onboarding, compliance, global mobility, and service delivery, driving strategic initiatives and operational excellence.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.