Senior Manager, AI Engineering

ServiceTitan

1d

About The Position

The AI engineering organization at ServiceTitan is looking for a leader who will drive the AI strategy to support our growth now and in the future. The ideal candidate will have experience with growing and managing an AI engineering team within a product company, with the capability of bringing a clear understanding of the business goals behind conversational interfaces and anchoring the team’s work in the context of the broader organizational strategy. They will work with business stakeholders across the company and support the creation of a global Conversational AI competency.

Requirements

• Education: MS/Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a similar quantitative discipline required.
• Leadership: 5+ years of experience in ML or AI engineering leadership roles, specifically managing teams shipping production software.
• Technical Expertise: Hands-on knowledge of modern NLP, Large Language Models (LLMs), Transformer architectures, RAG pipelines, and Agentic workflows (planning, reasoning, tool use).
• Data Systems: Expertise in vector databases, knowledge graphs, and SQL; experience with handling unstructured text data at scale.
• Coding: Strong coding experience in Python (required), with familiarity with modern AI frameworks (e.g., LangChain, LlamaIndex, PyTorch, Hugging Face).
• Communication: Great communication skills, including the ability to communicate complex AI concepts (like hallucinations or context windows) to business stakeholders.
• Adaptability: Demonstrated ability to adapt to new technologies and learn quickly in the fast-paced Generative AI landscape.
• Soft Skills: Strong written and presentation communication skills.

Responsibilities

• Lead teams, in charge of end-to-end development of Conversational AI Agents, from ideation and prompt engineering to production deployment and evaluation.
• Partner with Product to identify high-impact AI Agent and Chatbot opportunities for workflow automation.
• Educate the organization on LLM capabilities and trade-offs (latency, cost) to drive superior customer experiences.
• Oversee data curation, knowledge base construction, and feedback loops essential for successful RAG pipelines.
• Implement scalable LLMOps frameworks for supporting, evaluating, and securing agent deployments.
• Research and apply advanced techniques (multi-agent systems, function calling, fine-tuning) to enhance agent capabilities.
• Align with Engineering and Product leadership on roadmaps to ensure timely delivery of robust production agents.
• Stay abreast of GenAI trends and integrate new architectures to advance organizational goals.
• Design and scale a high-velocity AI Engineering organization, focusing on leadership development, organizational culture, and global talent acquisition strategies to sustain rapid growth.

Benefits

• Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
• 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.
• Support for Titans at all stages of life: 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, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees