Currently tracking 12 active AI roles, down 68% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $138k–$185k (avg $161k).
ServiceTitan currently has 14 active job listings related to artificial intelligence. All of these roles are focused on agents, representing 100% of their AI hiring. The majority of these positions are in Engineering, with some in Product. The company is primarily hiring in the United States and Canada. Their technical focus includes agent orchestration, RAG, LLM observability, evals, and guardrails.
ServiceTitan currently has 13 active AI-related roles in our index. The most common open titles are: Lead Data Scientist (2), Group Product Manager, Ads Product & Platform, Lead Analyst, People Analytics, Principal Software Engineer, Principal Software Engineer, Data Platform. Most positions are in Engineering and Product.
ServiceTitan's active AI hiring is concentrated in: agents (92%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
ServiceTitan is hiring AI talent in: United States (9 roles), Canada (2 roles), Armenia (1 role).
Job postings at ServiceTitan most frequently reference: agent orchestration, rag, llm observability, vector db, guardrails.
In the past 30 days, ServiceTitan has posted 6 new AI-related roles. That is a -50% change versus the prior 30 days (12 → 6).
| Title | Stage | AI score |
|---|---|---|
| Lead Data Scientist Lead Data Scientist role focused on applying machine learning, generative AI, forecasting, and optimization to financial planning and decision-making within an enterprise setting. The role involves building ML systems, designing data science infrastructure, and mentoring junior data scientists. | AgentData | 7 |
| Senior Data Scientist Senior Data Scientist role focused on leveraging machine learning and generative AI, including agentic workflows and RAG, to optimize customer onboarding. The role involves designing, developing, deploying, and evaluating AI models, with a strong emphasis on production-grade solutions and collaboration with engineering and product teams. | Agent | 7 |