Top Tech Jobs & Startup Jobs in Seattle, WA

The Communications Specialist will support external storytelling for AI products, manage communications for launches, and craft messaging across various formats.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

The role involves developing and optimizing tokenization systems for machine learning, collaborating with research teams, and improving model training efficiency.

The role involves leading a team of analytics engineers to develop scalable data solutions for product metrics, ensuring data integrity, and fostering a culture of excellence in data-driven decision making.

As an Analytics Engineer, you will create scalable solutions for data reporting, build data pipelines, and establish high data integrity standards while collaborating with multiple teams.

Lead training on Claude Code for go-to-market teams, develop technical content, deliver live training, and gather feedback for continuous improvement.

The role involves building and improving systems for training AI models, focusing on algorithms and infrastructure for reinforcement learning. Responsibilities include enhancing performance, reliability, and usability of systems to support research.

As part of the Safeguards Data Science team, you will analyze user behavior, define success metrics, and foster a data-driven culture to improve AI safety.

In this role, you will deliver computer-use and browser-control products, diagnose issues, collaborate with researchers, and translate user needs into features.

The Head of Programmatic Customer Success will define and implement strategies for customer engagement, utilizing AI to optimize customer journeys, ensuring scalable adoption without direct customer management. Responsibilities include designing programs, establishing metrics for success, experimenting to drive behavior change, and hiring a high-performance team.