Top Remote Jobs in Vancouver

Manage and optimize resource allocation for Enterprise Imaging services. Coordinate with leaders and services managers to assess needs, assign resources, support and maintain project/resource management tools, develop process improvements, analyze constraints, and maintain stakeholder relationships to improve operational efficiency and customer satisfaction.

The Senior Staff Engineer will enhance developer productivity and operational excellence at MongoDB, focusing on tools, systems design, and community mentorship.

The Design Director leads the Core Experience team at Block, ensuring high-quality design, strategic vision, and effective team mentorship while driving innovative financial product experiences.

The Sales Account Executive will build relationships with enterprise customers, create account strategies, and act as a trusted advisor while driving sales.

Manage and expand a portfolio of large enterprise B2B SaaS customers across North America. Develop account plans, deepen executive relationships, identify expansion and upsell opportunities, lead cross-functional teams to deliver measurable outcomes, drive renewals and negotiate terms, and exceed growth and retention targets.

Design, develop, and optimize C++ code for camera systems, implementing AI models and optimizing algorithms for embedded systems while collaborating with AI engineers.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

The Commercial Account Executive at Dynatrace is responsible for managing the sales cycle, developing leads, executing GTM strategies, and achieving quota growth within assigned territories.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.