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.
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 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 |
|---|---|---|
| Senior Manager, AI Engineering Senior Manager, AI Engineering to drive AI/ML strategy, manage teams, and ship production-grade AI models and enterprise-grade AI agent systems for automating complex business workflows at scale. Focus on LLMs, RL, fine-tuning, RAG, and evaluation, with an emphasis on reliability, latency, cost optimization, and responsible AI practices. | AgentServe | 8 |
| Senior AI Engineer (Agent OS Platform) Senior AI Engineer to build the core engineering primitives for Agent OS, a platform for role-specific AI agents. This includes agent runtime, typed tools, context/memory systems, trust/approval infrastructure, evaluation, and observability. The role focuses on building a reusable platform for product teams to create agents safely and reliably, with a strong emphasis on production safety, typed contracts, and evaluation. |
| 8 |
| Senior Manager, AI Engineering (Agent OS Platform) Senior Engineering Manager to lead a hands-on AI platform team building the core Agent OS, responsible for agent runtime, context/memory, capability platform, action/trust layer, and evaluation/observability harness. Requires strong technical leadership, production experience with LLM applications, and a focus on safety and evaluation. | AgentEval Gate | 8 |
| Senior Data Scientist Senior Data Scientist to lead the design, development, and deployment of advanced ML and generative AI models for customer onboarding optimization. Will apply ML fundamentals, explore cutting-edge techniques, and utilize statistical knowledge. Key responsibilities include designing, implementing, and testing GenAI and ML solutions, determining appropriate modeling approaches, and collaborating with engineering/product teams for production deployment. Experience with Agentic Workflows, RAG, and LLM evaluation frameworks is required. | Agent | 8 |
| Senior Product Manager, Customer Lifecycle Senior Product Manager to own AI-powered use cases within an agentic customer lifecycle experience, focusing on LLMs and customer outcomes for B2B SaaS. | Agent | 8 |
| Group Product Manager, Ads Product & Platform Group Product Manager for Ads Product & Platform at ServiceTitan, focusing on AI-native features and AI Engine Optimization (AEO) for the trades industry. The role involves defining strategy and shipping AI capabilities within the ads platform, including predictive bidding, AI-generated ad copy, and automated campaign health scoring, to help businesses discover and retain customers through paid media. | Agent | 7 |
| Lead Data Scientist Lead Data Scientist role focused on applying ML, GenAI, and data-driven insights to financial planning, optimization, and strategic decision-making. The role involves designing, developing, and deploying advanced solutions, partnering with Finance leadership, building ML systems and infrastructure, and mentoring junior data scientists. Experience with time series forecasting, anomaly detection, optimization, Generative AI, Agentic Workflows, and RAG is required. | Agent | 7 |
| Senior Product Manager, Exteriors Senior Product Manager for ServiceTitan's Exteriors vertical, focusing on transforming contractor operations through AI-powered features, intelligent recommendations, automated workflows, and agentic experiences. The role involves owning the roadmap, conducting customer discovery, and partnering with engineering and design to ship AI solutions that reduce manual work and drive business value. | Agent | 7 |
| Staff Application Security Engineer, AI Staff Application Security Engineer focused on integrating AI into the development lifecycle to enhance security. This role involves automating security pipelines with AI agents, developing secure code templates, implementing supply chain protections, using AI tooling for vulnerability testing and simulation, designing AI guardrails, and managing non-human identities in AI systems. | Agent | 7 |
| Principal, Security Architect Principal Security Architect role focused on designing and enforcing secure architectures for AI-enabled product capabilities, including LLM workflows, RAG pipelines, and agentic systems. The role also involves corporate AI governance and leveraging AI for security enhancements, with a strong emphasis on guardrails, isolation, and compliance with regulations like PCI DSS, CCPA, SOC2, ISO 27001, ISO 27701, and ISO 42001. | AgentEval Gate | 7 |
| Director, GTM Systems ServiceTitan is seeking a Director, GTM Systems to own the strategy, architecture, and execution of systems powering their Go-To-Market engine. This is a builder role focused on Salesforce Sales Cloud, CPQ, marketing automation, and revenue intelligence tools. The role requires putting AI at the center of GTM systems, evaluating and implementing AI-powered capabilities like predictive scoring and generative AI, and leading AI solution deployments. Experience with integrations, data governance, and leading GTM systems teams is essential, with a strong emphasis on Salesforce expertise and experience in high-growth B2B SaaS companies. Compliance with SOX, GDPR, CCPA is also required. | Agent | 7 |