ServiceTitan
Enterprise · Trades SaaS
- Size
- 2,000+
- Website
- servicetitan.com
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 37% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $138k–$185k (avg $161k).
Enterprise · Trades SaaS
ServiceTitan currently has 17 active AI-related roles in our index. The most common open titles are: Director, Data Science, Group Product Manager, Ads Product & Platform, Lead Analyst, People Analytics, Lead Data Scientist, Principal Software Engineer. Most positions are in Engineering and Product.
ServiceTitan's active AI hiring is concentrated in: agents (94%), application (6%). 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 (12 roles), Armenia (2 roles), India (1 role), Canada (1 role).
Job postings at ServiceTitan most frequently reference: agent orchestration, llm observability, rag, tool use, evals.
In the past 30 days, ServiceTitan has posted 8 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Director, Data Science Director of Data Science for Operations to lead data science and applied AI across operational core and post-sales product experience. This role involves setting technical direction, building and developing a team, and owning outcomes for internal operational efficiency and customer-facing AI products like support agents and onboarding. Responsibilities include owning the AI roadmap for operations (agentic systems, forecasting, lead scoring), owning AI for post-sales product experiences (support agent, onboarding intelligence), leading and developing a data science team, partnering with leadership to identify high-leverage problems, driving the full lifecycle from problem definition to monitoring, establishing metrics and evaluation frameworks, and collaborating with various engineering and product teams. The role requires strong foundations in statistics, ML, LLMs, agentic systems, orchestration, retrieval, and evaluation practices, with experience building and owning production AI systems. | AgentShip | 8 |
| 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. | AgentEval Gate | 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 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 |
| Staff Product Manager, Equipment Diagnostics & Field AI Product Manager role focused on defining and shipping AI-powered equipment diagnostics and field service solutions, leveraging AI and next-generation hardware to transform technician workflows and create intelligent, reliable experiences in real-world field conditions. The role involves owning product vision, roadmap, customer discovery, and partnering with engineering and data science to build AI-powered products and data strategies. | Ship | 7 |
| 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 |
| 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 |