Senior Manager of AI Engineering, ServiceTitan
$223.6-358.9k
+ annual bonus + equity
All-in-one operating platform for trades
Be an early applicant
All-in-one operating platform for trades
1001+ employees
Be an early applicant
$223.6-358.9k
+ annual bonus + equity
1001+ employees
Company mission
To be the world's most impactful vertical SaaS company.
Role
Who you are
- 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
- If you have the skills but are hesitant to apply because of your background, apply anyway
What the job involves
- 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
- 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
Our take
In the US, there's been a booming demand for home-service businesses, yet historically many of these trades were running with outdated software systems. That's where ServiceTitan comes in. Founded by friends who grew up around the trades, the company saw a clear gap and set out to give contractors the modern platform they desperately needed.
ServiceTitan's platform is designed specifically for the trades and brings together everything a contractor might need, in one handy system. By focusing on what trade-business owners actually need, it helps turn chaos into structure, giving visibility into operations, so owners can ultimately run their business better.
Now, ServiceTitan serves more than 11,800 trade customers and reported more than $10,000 in annualized billings and processes a huge volume of jobs on its platform. With a market that's still under-served by technology and a platform built to scale, the company is ready to grow even further.
Steph
Company Specialist at Welcome to the Jungle
Insights
18% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Nov 2022
$365m
SERIES H
Jul 2021
$200m
SERIES G
Total funding: $1.5bn
Company benefits
- Flexible time off
- Fully paid individual medical, dental, and vision coverage
- Access to on-demand services like Ginger, Headspace, One Medical, Galileo, Aaptiv, and more
- Tax free savings via HSA, FSA, and Dependent Care FSA
- 401(k) match
- Personal development programs
- Medical plan with up to $20,000 in fertility coverage
- Up to 30 weeks of paid leave for birthing parents and up to 16 for non-birthing parents
- Adoption support including reimbursement of up to $20,000
- Bereavement leave for loss of a pregnancy or loved one
- Access to programs for new parents including Maven Maternity, Ready, Set, Food! Wellthy, SNOO Smart Sleeper, and more
Company HQ
Downtown, Glendale, CA
Leadership
Ara Mahdessian
(Co-Founder & CEO)They studied Management and Computer Science at Stanford University, before co-founding ServiceTitan with Vahe in January 2013. They have served since then as CEO.
Vahe Kuzoyan
(Co-Founder & President)Having studied Computer Science at the University of Southern California, they co-founded ServiceTitan in January 2013, serving as the president since.
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