Top Remote Robotics Jobs in San Francisco, CA

The Data Engineer will create data pipelines, manage and maintain data architecture, and improve the data processing systems, focusing on automation and efficiency in delivering data insights.

The Sr Zone Manager drives sales and aftersales activities in the Cadillac Zone, leading a team, building dealer relationships, and strategizing for customer growth and retention.

Program Managers at SharkNinja oversee the entire New Product Development process, collaborating with cross-functional teams and ensuring products are delivered on time and meet quality standards.

The Solutions Engineer leads projects in wireless mesh networking, provides technical support, and collaborates with teams to create innovative solutions.

The Field Marketing Manager will lead regional events and campaigns, manage project logistics, and work closely with sales teams to enhance marketing efforts for Carbon Robotics' products.

The COO will oversee AMP's material recycling operations ensuring optimal performance, lead a high-performing team, implement operational systems, and collaborate on company strategy.

The Product Analyst analyzes product performance metrics, collaborates with teams to derive insights, designs experiments, and builds dashboards for improving product reliability in autonomous trucking.

The Strategic Account Executive will manage key global accounts, driving revenue retention and expansion while building relationships with stakeholders across various sectors.

The GTM Partner Owner will manage global partnerships, execute go-to-market strategies, and drive revenue through joint initiatives with partners.

As a Solutions Engineer, you will collaborate to develop warehouse robotic systems, translating customer needs into operational solutions and using CAD and data analysis tools.

The Solutions Engineer will develop technical solutions for healthcare automation, translating customer needs into implementable features using the Canvas SDK, while collaborating with teams and maintaining high coding standards.

Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.