Currently tracking 24 active AI roles, down 41% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $102k–$319k (avg $208k).
Samsara has 33 active AI-related job listings, with a significant focus on agents, which accounts for 64% of these roles. Engineering is the primary function hiring for these positions, predominantly in the United States. The company is actively seeking candidates with experience in agent orchestration, model serving, and LLM observability. Over the last 30 days, Samsara posted 13 new AI roles, representing a 18% increase compared to the previous 30-day period.
Samsara currently has 39 active AI-related roles in our index. The most common open titles are: Staff Software Engineer (3), Lead AI Engineer- GTM Systems (2), Senior Data Engineer (2), Senior Software Engineer I - Agent Foundations (2), Senior Software Engineer II (2). Most positions are in Engineering and Product.
Samsara's active AI hiring is concentrated in: agents (62%), application (15%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Samsara is hiring AI talent in: United States (34 roles), United Kingdom (2 roles), Poland (1 role), Canada (1 role).
Job postings at Samsara most frequently mention: Software Engineering, Python, Production ML Systems, System Design, Machine Learning.
In the past 30 days, Samsara has posted 15 new AI-related roles. That is a +67% change versus the prior 30 days (9 → 15).
| Title | Stage | AI score |
|---|---|---|
| Senior Data Engineer Senior Data Engineer role focused on building and maintaining data platforms and pipelines, with a significant emphasis on integrating AI agents and intelligent tooling to automate and accelerate data engineering workflows. The role involves architecting Spark-driven systems, designing data platforms as products, and building MCP servers for AI models. | DataAgent | 7 |
| Senior Data Engineer Senior Data Engineer to build and maintain data pipelines, design data platforms as products, and develop AI agents and intelligent tooling to automate and accelerate data engineering workflows. Focus on Spark, distributed systems, and integrating agentic workflows into the data engineering lifecycle. | DataAgent |
| 7 |