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The Director of Digital Workplace & End User Services at Samsara leads the integration of AI into workflows, fosters a zero-touch operational model, and enhances user experience across a tech-enabled workforce.

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.

The Specialist Seller will lead AI product go-to-market efforts, partnering with Account Executives to drive strategy and build relationships with complex enterprise accounts, ensuring alignment of solutions with customer needs.

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.

Design, build, and operate authentication and authorization systems for millions of users and devices. Drive IAM strategy for AI agents, implement secure, standards-based solutions, mentor engineers, partner with cross-functional teams on security, compliance, and scalable distributed system architecture.

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.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.