Senior Manager, AI Engineering

Role Description

The engineering organization at ServiceTitan is looking for a leader who will drive the AI/ML strategy to support our growth now and in the future. The ideal candidate will have experience shipping production-grade ML and AI models — including large language models and reinforcement learning systems — and managing teams within a product company.

• Drive overall model development life-cycle from Ideation to operations, including fine-tuning, evaluation, alignment, and deployment of LLMs and other production-grade AI models.
• Design and build enterprise-grade AI agent systems and orchestration harnesses that reliably automate complex, multi-step business workflows at scale.
• Partner with Product organization to help identify the opportunities for AI/ML solutions, including agentic workflows, retrieval-augmented generation (RAG), and reinforcement learning-based systems.
• Educate the organization on how to leverage AI/ML to produce better customer outcomes.
• Partner with Engineering and Product leadership to align on Roadmap and deliverables to deploy AI/ML models to production, focusing on reliability, latency, cost optimization, and responsible AI practices.
• Research and stay abreast of new technologies and industry trends in the rapidly evolving LLM and foundation model ecosystem.
• Hire, manage, grow and retain a high-performance team that can meet both present and future needs by identifying and leveraging AI/ML opportunities across the suite of the Product.

Qualifications

• MS/Ph.D in Statistics, Applied Mathematics, Computer Science, Engineering, or similar quantitative discipline required.
• 7+ years of experience in AI/ML leadership roles, with hands-on experience shipping high impact, customer-facing, production-grade AI products.
• Hands-on knowledge of advanced methods in machine learning — including large language models, reinforcement learning (RL/RLHF), fine-tuning, prompt engineering, retrieval-augmented generation, and evaluation frameworks.
• Expertise in SQL, with previous experience with big data systems and modern ML infrastructure (e.g., GPU clusters, model serving platforms, vector databases).
• Coding experience in Python (strongly preferred), with familiarity in frameworks such as PyTorch, Hugging Face, vLLM, or similar.
• Experience building and operating LLM-powered features in production, including guardrails, evaluation pipelines, and cost/latency management.
• Great communication skills, including communicating complex concepts to business stakeholders.
• Demonstrated ability to adapt to new technologies and learn quickly in a landscape that changes weekly.
• Strong written and presentation communication skills.

Benefits

• Flexible time off with ample learning and development opportunities.
• Comprehensive onboarding program and leadership training for Titans at all levels.
• Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents).
• FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
• Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement.
• On-demand maternity support through Maven Maternity and free breast milk shipping through Maven Milk.
• Pet insurance, legal advisory services, financial planning tools, and more.