Top Tech Jobs & Startup Jobs in Seattle, WA

The Staff Product Manager will define and lead the vision and strategy for Dropbox's product and platform capabilities, collaborating with cross-functional teams and prioritizing customer needs while navigating product execution challenges. They will drive innovation within the Connector and Dash Integrations Ecosystem and ensure products align with market trends and user value.

The Staff Software Engineer for the Research Platform at Qualtrics will develop scalable web solutions, implement new features, and optimize performance while collaborating with cross-functional teams. Responsibilities include working in full-stack development using React, NodeJS, and managing databases like MySQL and MongoDB.

As a Senior Engineering Manager, you will lead the Trust Intelligence team in enhancing transaction integrity by developing robust data infrastructure and machine learning systems to combat fraud and ensure risk management. You'll set the technical roadmap, collaborate with product squads, and mentor engineers while meeting high standards of planning and execution.

The Backend Engineer at Snap Inc. will design, implement, and operate critical scalable services, collaborate with teams to understand product requirements, and ensure high quality through testing and debugging. They will work on distributed systems and advocate best practices for scalability and operational excellence.

The Sales Enablement Onboarding Manager is responsible for designing and managing onboarding programs for new sales hires, enhancing their training experience and ramp-up time. This includes collaborating with cross-functional teams, leading training sessions, measuring onboarding success through metrics, and ensuring a smooth transition for new hires into the sales team.

The role involves designing and delivering scalable back-end services for CrowdStrike's Cloud Security Posture Management platform. Responsibilities include developing command-line utilities, supporting integration with various teams, monitoring uptime of services, and improving system architecture and user experience for customers' cloud workload security.

As an AI Engineer, you will be responsible for training and tuning AI/ML models, performing model evaluations, building large-scale AI/ML pipelines, and developing evaluation frameworks. This involves significant work with deep learning, transformer models, and data engineering.