Top Remote Senior Level Jobs in Portland, OR

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

The Services Sales Executive manages Expert and Success Services sales, ensuring customer satisfaction and maximizing revenue through collaboration with license sales teams and partners.

Looking for a Senior Software Engineer to develop full-stack applications, improve functionality, mentor team members, and influence technical direction.

As a Senior Mechanical Engineer, you will design and prototype hardware devices, conduct testing, and enhance product reliability while collaborating with cross-functional teams.

The Inpatient UM Medical Director will lead utilization management initiatives, focusing on hospital reviews and enhancing quality in patient care.

The Head of Product Marketing and Content will develop marketing strategies, manage content, oversee customer marketing programs, and lead a team. Responsibilities include product positioning, thought leadership, and project management.

The Senior Client Partner drives growth in Enterprise accounts by managing sales cycles, developing consulting solutions, and fostering client relationships, acting as a strategic advisor to executives.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

The Senior Named Account Executive will sell Cloudflare services to the Public Sector, develop strategic relationships, manage contracts, and maintain a sales pipeline.

As a Product Designer for Scientific Modalities, you will collaborate with teams to define product strategy, design and prototype solutions, and own design for initiatives.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.