Senior Manager, AI Engineering

ServiceTitan

Senior Manager leading AI/ML strategy to support growth at ServiceTitan. Design and build enterprise-grade AI systems, collaborating with cross-functional teams.

Posted 5/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $223,600 - $299,100 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchSQL

About the role

Key responsibilities & impact

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 how to leverage AI/ML to produce better customer outcomes
Partner with Engineering and Product leadership to align on Roadmap and deliverables in order to deploy AI/ML models to production, with a focus 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. Incorporate new ideas that are well suited to advance the goals of ServiceTitan.
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.

Requirements

What you’ll need

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 some of the most 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, 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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learninglarge language modelsreinforcement learningfine-tuningprompt engineeringevaluation frameworksSQLPythonPyTorchHugging Face

Soft Skills

communication skillsadaptabilityteam managementstakeholder communicationpresentation skills

Certifications

MS in StatisticsPh.D in Applied MathematicsPh.D in Computer SciencePh.D in Engineering