Top Tech Jobs & Startup Jobs in Boston, MA

The Staff Financial Analyst will manage budgeting and forecasting, develop financial models, automate reporting, and collaborate across departments to enhance financial operations.

Lead the strategy for AI-first product management, enhancing user productivity and engagement within Firefox, by driving execution and collaboration across teams.

As Director of Product Management for Generative AI at Mozilla, you'll lead the strategy, vision, and execution for AI-driven features in Firefox to enhance user productivity and experience.

The Staff Financial Analyst will lead financial planning, reporting, and analysis, driving budget discipline and automation of reporting processes. Responsibilities include consolidating forecasts, partnering with diverse teams, and enhancing reporting infrastructure.

The User Interface / Visual Designer will create and refine visual language, layouts, and UI components for Thunderbird's platforms, ensuring accessibility and intuitive designs, while collaborating with various teams.

As a User Interface / Visual Designer, you will create high-fidelity layouts and interactive prototypes for web, desktop, and mobile platforms while ensuring accessibility and cohesive design. You will work with design and development teams to translate requirements into production-ready assets and engage in user research for feedback on designs.

The role focuses on driving growth for Firefox desktop by developing marketing strategies, authoring audience targeting, improving user retention, and collaborating with teams for product marketing and user experience enhancements.

The Sustainability Manager will oversee Mozilla's sustainability initiatives during a 7-month parental leave, lead carbon footprint projects, and promote internal engagement in sustainability efforts.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.