Ready to be a Titan?
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 with the capability of bringing clear understanding of what the business goal behind the project is 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 AI/ML competency.
What You'll Do:
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.
What You'll Bring:
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
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
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.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws.For candidates in the United States, the good faith salary ranges estimate for this role is
Zone 1: $239,300 USD - $358,900 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA
Zone 2: $223,600 USD - $335,400 USD Applicable for: All other US locations.
International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.