Smartsheet has 16 active AI-related job listings, with a significant focus on roles related to agents, which comprise 50% of their AI hiring. Engineering is the top function for these positions. The company is actively hiring in the United States and India. Frequent technology tags include rag, agent_orchestration, and llm_observability. Smartsheet posted 7 new AI roles in the last 30 days, representing a 17% increase compared to the prior 30-day period.
Currently tracking 12 active AI roles, with 50 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $149k–$245k (avg $206k).
Smartsheet currently has 16 active AI-related roles in our index. The most common open titles are: Director, Analytics Engineering & BI Platform (Remote Eligible), Director, Engineering, Grid Platform & Reporting Services (Remote Eligible), Manager, AI/ML Ops Engineering (Hybrid in Bangalore), Principal Data Engineer / Architect - Individual Contributor, Senior AI/ML Ops Engineer (Hybrid in Bangalore). Most positions are in Engineering.
Smartsheet's active AI hiring is concentrated in: agents (50%), serving infrastructure (19%), application (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Smartsheet is hiring AI talent in: United States (8 roles), India (6 roles), United Kingdom (2 roles).
Job postings at Smartsheet most frequently reference: rag, agent orchestration, llm observability, evals, model serving.
In the past 30 days, Smartsheet has posted 3 new AI-related roles. That is a -62% change versus the prior 30 days (8 → 3).
| Title | Stage | AI score |
|---|---|---|
| Manager, AI/ML Ops Engineering (Hybrid in Bangalore) Manager AI/ML Ops Engineering to lead and mentor a team, define and govern AI/ML operations solutions for scalability, cost-efficiency, and reliability, and develop standardized AI/MLOps workflows including CI/CD/CT pipelines. The role requires experience in enterprise SaaS, building and maintaining AI/ML Ops platform systems, and knowledge of AI/ML frameworks and cloud platforms. | Serve | 7 |
| Senior AI/ML Ops Engineer (Hybrid in Bangalore) Senior AI/ML Ops Engineer responsible for designing, developing, and overseeing scalable and reliable AI/ML Ops platforms and pipelines. This includes model deployment, CI/CD pipeline development, infrastructure management for training and serving, monitoring, automation of retraining, deployment of foundation models and RAG stacks, resource optimization, and collaboration with data science and engineering teams. The role requires experience with enterprise SaaS, large-scale data, AI/MLOps workflows on platforms like Databricks and MLFlow, cloud platforms, and modern software engineering practices. |
| ServeAgent |
| 7 |
| Senior AI/ML Ops Engineer-II (Hybrid in Bangalore) Senior AI/ML Ops Engineer responsible for designing, developing, and overseeing scalable and reliable AI/ML Ops platforms and pipelines. This includes model deployment, CI/CD automation, infrastructure management for training and serving, monitoring, resource optimization, and managing foundation models, fine-tuning, and RAG stacks. The role requires close collaboration with data scientists and engineers, and experience with MLOps workflows on Databricks, MLflow, and AI/ML frameworks like LangChain. | ServeAgent | 7 |