Top Tech Jobs & Startup Jobs in Seattle, WA

The Content Specialist in Customer Lifecycle Marketing will create and manage content to guide customers through onboarding and product adoption, collaborating across teams to define and deliver impactful content for various channels.

The Software Engineering Manager will lead a team in building PaaS solutions, manage product development from planning to execution, and mentor engineers while collaborating with stakeholders.

The Machine Learning Engineer II develops scalable ML systems, optimizes machine learning models, collaborates with teams, and implements features to enhance customer experiences.

The role involves providing Salesforce admin support, analyzing business problems, translating requirements into solutions, and maintaining data processes. Collaboration with business stakeholders and IT partners is essential.

The role involves applying data science to enhance fraud risk management in SMB products, designing experiments, and collaborating with various teams for product improvements.

Develop a content strategy for the Help Center, create and publish customer support articles, and optimize content based on analytics and feedback.

Lead and manage the field sales team, driving revenue growth by developing sales strategies, executing business plans, and ensuring team performance to exceed sales quotas.

Design and implement network systems, automate tasks, troubleshoot issues, collaborate with teams, and mentor others in network operations and software development.

The Systems Manager will lead the Linux Center of Expertise, overseeing Linux operations, incident management, and strategic engagement with cross-functional teams for improvements.

Lead product management for AI products at PwC, focusing on strategy, mentoring junior staff, and ensuring project success. Responsible for product lifecycle, innovation, and team motivation.

Lead large technology projects, innovate processes, create automated workflows, and engage with clients at a senior level while maintaining operational excellence.

Lead solution architecture initiatives and manage complex IT design projects, shaping client engagements and mentoring team members while promoting technological innovation.

As a Deep Learning Engineer, you will design experiments, optimize models for deployment, document findings, and integrate with robotics software.