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Design, build, and operate scalable data ingestion, replication, and lakehouse infrastructure to move petabytes of data into a Delta Lake on S3. Improve reliability, observability, security, and developer experience for Spark/Databricks processing. Develop internal libraries and tooling (Go/Python), collaborate with cross-functional teams, and help shape long-term data platform and AI-ready infrastructure.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

Lead technical direction for developer platform tooling: CI/CD, build systems, and AI coding agents. Design, build, and scale AI agents for coding, code review, testing, release automation, and incident response. Standardize tools, mentor engineers, drive cross-team technical projects, and represent the platform externally.

The role involves supporting Samsara's largest customers in optimizing their operations using IoT data, conducting workshops, guiding transformation initiatives, and ensuring long-term success through collaboration with cross-functional teams.

Lead end-to-end design for strategic web and mobile product initiatives, collaborating with product and engineering, engaging customers for research and validation, mentoring designers, and shipping high-impact interaction and visual designs that improve operational safety, efficiency, and sustainability.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

Lead technical vision and architecture for AI-powered GTM systems, defining reference architectures, patterns, and governance for low-code and custom agentic solutions. Architect and prototype LLM orchestration, multi-system integrations, RAG pipelines, and event-driven data flows across Salesforce, NetSuite, Marketo, and cloud infrastructure while partnering with GTM leaders to deliver production-grade, auditable, and scalable automation.

Build and own technically complex, end-to-end full-stack features and platform capabilities for AI-driven IoT products. Define technical strategy, ship backend/frontend/mobile work, scale data ingestion and APIs, partner with product/design/customer teams, mentor engineers, and drive cross-team projects from ambiguous problems to measurable outcomes.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.