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 |
|---|---|---|
| Senior Software Engineer II - Applied AI and Evaluations (Remote Eligible) Senior Software Engineer II focused on Applied AI and Evaluations for Smartsheet's AI-powered work management platform (SmartAssist). The role involves owning agent quality end-to-end, including diagnosis, improvement, and validation across orchestrators and subagents. Responsibilities include identifying failure modes, driving quality improvements through prompt/context engineering and RAG tuning, and extending the evaluation framework. This is a deeply technical role at the intersection of LLM evaluation, prompt engineering, and RAG, not a traditional QA role. | Eval GateAgent | 7 |