Top Engineering Jobs in San Francisco, CA

Lead design and implementation of scalable services, APIs, and customer-facing web experiences that integrate real-time data processing and AI/LLM-driven insights. Deliver features end-to-end, contribute to AI-powered workflows and evaluation, ensure reliability through observability and testing, and collaborate cross-functionally with Product, Design, ML, and platform teams.

Own technically complex, mission-critical systems and define technical strategy. Design and ship full-stack AI-driven features, build scalable data ingestion and APIs, partner with product and customer teams, mentor engineers, and drive high-quality, zero-to-one product delivery.

The Enterprise Sales Engineer supports technical sales by conducting product demos, managing projects, and integrating products, while also collaborating with teams to deliver customer solutions and improve sales processes.

Design, build, and operate large-scale data pipelines and Spark/PySpark workflows across Databricks and cloud platforms. Develop Python/SQL data transformations and data APIs (FastAPI), manage API runtimes in AWS, ensure data quality, observability, and platform standards. Build MCP servers and integrate AI-agent tooling, mentor engineers, lead projects, and provide production support and on-call escalation for data systems.

Lead design and delivery of enterprise-grade integrations between Samsara and customer systems. Own end-to-end technical projects, mentor engineers, map integration requirements to APIs/webhooks/streaming, build custom integrations, troubleshoot and advocate for fixes, and collaborate with product, sales, and engineering to ensure successful deployments and operational support.

Build and own platform tooling that improves production reliability: automated safeguards, incident management, observability and SLO frameworks, AI-driven remediation, and partnership with product teams to prevent incidents and reduce operational toil.