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[Remote] Senior Manager, AI Engineering

Remote · USA Full-time New today

Note: The job is a remote job and is open to candidates in USA. ServiceTitan is looking for a leader to drive the AI/ML strategy to support their growth. The role involves managing the development lifecycle of AI models, collaborating with business stakeholders, and building AI systems to enhance customer outcomes.

Responsibilities

  • 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

Skills

  • 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

  • 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.
  • 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, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

Company Overview

  • ServiceTitan is a software solution that manages operations for businesses in the home service industry, including scheduling and invoicing. It was founded in 2007, and is headquartered in Glendale, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.servicetitan.com.
  • Company H1B Sponsorship

  • ServiceTitan has a track record of offering H1B sponsorships, with 13 in 2026, 54 in 2025, 49 in 2024, 45 in 2023, 73 in 2022, 64 in 2021, 29 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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