Top Tech Jobs & Startup Jobs in Toronto

As a Senior Machine Learning Engineer, you will design, build, deploy, and refine large-scale machine learning systems for Dropbox Dash. You will collaborate with cross-functional teams to personalize user experiences and implement modern advancements in AI and ML.

The Product Manager will lead the Workday platform projects focusing on implementation, enhancements, and optimizing the People Technology ecosystem. Responsibilities include cross-functional collaboration, prioritizing features and enhancements, managing integrations, advanced report writing, and mentoring the Workday team to drive innovation and improve automation.

As a Software Engineering Intern at Dropbox, you will work on enhancing customer support experiences and integrating support systems. You'll collaborate with stakeholders, develop tools for user empowerment, and focus on secure development practices while gaining mentorship and networking opportunities.

The Sales Enablement Partner will equip sales teams with the necessary tools and skills to succeed, develop tailored training programs, optimize sales processes, and collaborate with cross-functional teams to enhance overall sales performance. This role emphasizes the importance of understanding sales methodologies and continual improvement of training initiatives.

The Senior Workday Analyst will optimize Workday functionalities, lead enhancement projects, and drive process improvements across Time Tracking, Absence, Talent, and Compensation modules. They will collaborate with cross-functional teams, design reports and analytics, manage integrations, and identify opportunities for system efficiency.

The Learning Design & Innovation Leader at Dropbox will architect and execute innovative learning programs to enhance leadership and employee development, focusing on behavior change and business outcomes. This role involves collaborating with various teams, managing a learning design team, and utilizing learning technologies, including AI and digital tools, to foster an engaging learning environment in a remote-first context.

The Senior Data Scientist will work with engineering and product teams to analyze user behavior, optimize products, and drive revenue growth. Responsibilities include conducting deep-dive analyses, developing segmentation strategies, creating dashboards, and collaborating with cross-functional teams to inform strategy and experimentation.