Top Tech Jobs & Startup Jobs in Seattle, WA

Lead a team focused on customer engagement, retention, and multi-product growth. Set lifecycle strategy, mentor team members, and implement campaigns while collaborating with various departments.

As a Machine Learning Engineer II, you will design, implement, and maintain machine learning models, optimize workflows, and collaborate with cross-functional teams to deploy ML systems.

The Principal Business Manager will drive growth in USA-LAC markets through strategy, analytics, and operations, collaborating across product and marketing teams to enhance customer experience and execute initiatives.

Lead performance marketing strategy and execution across the US and Canada, manage a multi-million dollar paid media budget, and direct a team of media buyers. Apply advanced measurement (attribution, incrementality, media mix modeling), partner with Creative and Analytics, optimize acquisition within efficiency targets, and provide clear performance reporting to leadership.

The General Manager will oversee and drive Remitly's global payment infrastructure strategy, ensuring reliable and efficient money movement while exploring modern technologies for enhanced performance and user experience.

As a Senior Data Scientist at Remitly, you'll drive data-driven decision-making, mentor junior staff, and own complex analytical problems utilizing AI/ML techniques.

Design and build Go backend services on AWS to support scalable AI/ML workloads. Develop core platform components (feature store, orchestration, model serving), deploy GenAI apps, optimize infrastructure and CI/CD, and collaborate with data scientists, ML engineers, and product teams to deliver end-to-end ML solutions.

Lead design and evolution of Google Workspace architecture, governance, and security. Own multi-year roadmap, complex integrations (Workday, Okta), vendor relationships, documentation, and mentorship to drive adoption, compliance, and automation across the organization.

As a Knowledge Development Engineer, you'll architect and deploy AI-driven production systems, reverse-engineer existing systems, and guide product development. You'll synthesize customer feedback and lead experiments to connect technical development with business outcomes.

The Knowledge Development Engineer leverages AI agents to solve customer problems by building applications and automating workflows, focusing on delivery speed and quality.