Top Tech Jobs & Startup Jobs in Seattle, WA

The Salesforce Solution Architect is responsible for designing and implementing scalable Salesforce solutions while collaborating with cross-functional teams. Key responsibilities include developing product strategy, ensuring alignment with business objectives, analyzing requirements for technical solutions, and adhering to architectural standards throughout the development lifecycle.

The Workday Solution Architect is responsible for designing and implementing enterprise-level solutions within the Workday environment, ensuring efficient financial systems architecture. This role involves collaboration with various stakeholders to gather requirements, manage integrations, and lead Workday-related projects while aligning product strategies with business objectives.

The Project Manager will lead operational initiatives within Global Inside Sales, focusing on enhancing efficiency through analytics and optimizing sales technologies. They will work collaboratively across IT, marketing, and operations to implement best practices, develop reporting tools, and support sales strategies, while ensuring data integrity and process improvements.

The Sales Technology Manager is responsible for building and maintaining the sales technology stack to support commercial operations. This includes defining strategic plans, documenting systems architecture, implementing technology roadmaps, managing budgets, and providing expert consulting on sales technology applications. The role also involves cross-functional collaboration to enhance productivity and optimize tools for better performance.

The Director of Channel Sales is responsible for leading the channel sales team focused on Oracle/Netsuite, Microsoft D365, and Workday ERPs, achieving sales goals through training, coaching, and managing partner relationships. This role involves driving demand generation, overseeing employee performance, facilitating lead generation activities, and ensuring alignment with the company's sales strategies and goals.

The AI Product Engineer will develop and deploy AI-driven products, create proof-of-concept systems, and manage cross-functional teams. They will focus on utilizing machine learning and generative AI technologies, collaborating with stakeholders to address pain points, and staying updated on the latest advancements in AI.

This position entails driving product adoption by maintaining strong customer relationships, managing renewals, and ensuring customer success. Responsibilities include reporting business value, identifying renewal risks, promoting new features, and facilitating cross-selling opportunities.