Senior Manager, ServiceTitan
AI Engineering
$221.4-296.1k
Annual bonus and 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
$221.4-296.1k
Annual bonus and equity
1001+ employees
Company mission
To be the world's most impactful vertical SaaS company.
Role
Who you are
- 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
- 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
- If you have the skills but are hesitant to apply because of your background, apply anyway
What the job involves
- 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
- They will work with business stakeholders across the company and support the creation of a global Conversational AI competency
- You'll 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
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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