Top Remote Jobs in Seattle, WA

Responsible for establishing new strategic relationships, maintaining existing relationships, and analyzing customer's business situations. Drive NICE Actimize's response to critical business problems and achieve annual sales quota. Develop and maintain high-level relations with 'C' levels and facilitate sales through a network of relationships.

Lead proposal development activities, manage proposal teams, oversee proposal schedule and milestones, create and manage proposal guidance documents, provide training and mentoring to team members, conduct final production and quality checks, and follow up on proposal activities.

Join Demiurge Studios as a Senior Unreal Engineer working on innovative games for PC, Android, and iOS. Collaborate with artists and designers to deliver high-quality systems on time. Apply agile methodologies and software engineering practices to maintain code quality. Requires 5+ years of professional software development experience, expertise in C++ and the Unreal Engine, and a degree in Computer Science or equivalent.

The Pyroprocessing Safety Analysis Engineer is responsible for designing and developing analyses that form the safety bases for a used fuel recycling facility. They will perform safety analysis, work collaboratively with an interdisciplinary team, and manage projects for licensing deliverables.

Seeking a skilled Product Marketing Manager with expertise in biotechnology and life sciences. Responsible for developing and executing marketing plans, conducting market research, creating compelling content, and collaborating with cross-functional teams to drive marketing initiatives.

The Director of Retail Sales at Looma is responsible for scaling the company's reach by developing relationships with new retail partners, managing partnerships, and leading sales efforts. This role involves direct sales and playbook development, as well as collaborating with product teams and representing the company at industry conferences.

Join Proof as a Senior Data Scientist in Fraud Detection. Use advanced analytics and machine learning to identify and prevent fraud risks. Collaborate with cross-functional teams to build data-driven solutions for product needs.