Top Tech Jobs & Startup Jobs in Seattle, WA

As an Associate Salesforce Administrator at Center, you will be responsible for administering the Salesforce platform, supporting users, monitoring performance, maintaining data quality, and staying up-to-date on Salesforce features. The role requires a Bachelor's degree in Computer Science or related field, 0-2+ years of Salesforce administration experience, Salesforce Admin Certification 201, and strong communication skills.

The People Operations Coordinator at First Mode will support key employee lifecycle processes, HRIS administration, onboarding, benefits administration, and employee questions. They will proactively identify opportunities to enhance the employee experience and maintain data integrity.

As a mid-level UI Artist, you will work with Designers and Engineers to coordinate development of the game's UI experience as well as help drive the visual direction of the UI in collaboration with Art Leadership.

Technical Account Manager in the solar industry responsible for developing and managing a sales pipeline, building relationships with key influencers, and presenting software solutions to address customer problems and ensure success.

As a Senior Software Engineer at Carbon Robotics, you will work on building AI and robotics products, focusing on robot side features and related backend features. Responsibilities include partnering with engineering teams, building efficient software, troubleshooting, and driving project planning. Skills required include Go, Python, C++, Linux, REST, GRPC, MySQL, Postgres, Sqlite, Docker, Git, bash, Redis, and proficiency in web services.

As a Strategic Accounts Sales Engineer at Monte Carlo, you will provide technical guidance and support to the sales team for the company's largest accounts. Responsibilities include delivering demos, positioning the platform, advocating for customer needs, and creating content. Travel up to 25% may be required.

Looking for a Staff Machine Learning Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Responsibilities include designing core platform backend software components, working on large scale initiatives, and participating in open source projects.