Top Tech Jobs & Startup Jobs in Seattle, WA

The CMF and Product Developer supports the Director of Product Development in creating and expanding product lines, managing project execution, collaborating with cross-functional teams, and driving product innovations. Responsibilities include overseeing product development, conducting market analysis, maintaining documentation, and ensuring timely project reviews and compliance with standards.

The Database Manager oversees the daily support, maintenance, and improvement of CRM systems. Responsibilities include ensuring data integrity, managing user accounts, optimizing data management practices, coordinating with vendors, and providing training to users. They focus on process improvement and managing data-related technical projects while collaborating with different stakeholders.

The Lead Product Manager drives the vision and strategy for Retail Digital Twin applications, managing product roadmaps and backlogs while ensuring innovative solutions. This role collaborates with cross-functional teams to enhance product delivery, monitor industry trends, and influence product development aligned with user value and business goals.

The Principal SAP Analytics Cloud Configuration Engineer will analyze, develop, and configure use cases in SAP reporting tools, mentor junior team members, and consult on complex projects. They will document architecture, enhance financial processes, develop test scripts, and support various implementation processes.

The IT Support Manager will oversee IT infrastructure management, provide technical support, oversee onboarding and offboarding, implement security measures, and manage projects and vendor relationships to optimize IT systems for Hiya's strategic objectives.

As an Engineer II on the Reporting and Insights team, you will develop and maintain data pipelines, build near real-time applications, join datasets for optimized access, and work with various teams to maintain large query engines, ensuring fast query access for customers.

The Staff Machine Learning Engineer will develop and productionize machine learning models, collaborate with product teams, ensure code quality, research emerging technologies, and share knowledge through presentations. They will focus on solving business challenges with AI-driven solutions and implementing machine learning systems.