Top Tech Jobs & Startup Jobs in Seattle, WA

As a Sales Engineer, you will leverage IoT solutions to modernize industries, provide technical consulting, and deliver impactful customer solutions while building relationships and driving sales success.

As a Sales Engineer, assist the Global Sales Team with technical inquiries, manage digital content for product learning, and coordinate communication for customer success.

The Sales Engineer will support the global sales team with technical inquiries, assist in trials, create software integrations, manage digital content, and facilitate customer use case gathering while ensuring technical solutions meet customer needs.

As a Staff Mobile Engineer, you will design scalable mobile infrastructure for high-availability applications, optimize performance, and lead technical initiatives to enhance developer productivity.

The Senior Sales Operations Analyst will lead project workstreams supporting Enterprise Account Executives, improve sales processes, analyze data for decisions, and collaborate with various departments to enhance efficiency and revenue.

As an Enterprise Sales Engineer, you'll support sales growth through technical expertise, conduct product demos, manage projects, and provide technical solutions while meeting sales quotas.

Samsara seeks a specialist seller to drive growth in emerging enterprise products, collaborating with Account Executives and influencing strategies with major clients.

The Sales Engineer I will assist the Global Sales Team with technical inquiries, conduct technical trials, manage product content, and support customer communications to ensure success in implementing Samsara's IoT solutions.

The Financial Analyst will manage R&D budgets, perform financial forecasting, provide reporting insights, and collaborate cross-functionally to drive efficiency and optimize costs.

Design, build, and maintain scalable Spark-based ETL pipelines and computed tables in a central data lake. Integrate structured and unstructured IoT, sensor, and external data for analytics, model training, and dashboards. Collaborate with Data Science, Analytics, and ML teams to ensure reliable, high-quality customer-facing datasets.