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ServiceTitan

Senior Manager, AI Engineering

Reposted 4 Days Ago
Remote or Hybrid
Hiring Remotely in US
221K-296K Annually
Senior level
Remote or Hybrid
Hiring Remotely in US
221K-296K Annually
Senior level
Lead AI engineering teams to develop Conversational AI solutions, collaborate with stakeholders, and drive AI strategy for organizational growth.
The summary above was generated by AI

Ready to be a Titan?

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. 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. They will work with business stakeholders across the company and support the creation of a global Conversational AI competency.

What you'll do:

  • 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.

What you'll bring:

  • 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.

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. 

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.The expected salary range for this role for candidates residing in the United States is between $221,400 USD - $296,100 USD. Compensation for candidates residing outside the United States will vary by location and the specific salary range will be discussed during the hiring process. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits.

Top Skills

Hugging Face
Knowledge Graphs
Langchain
Llamaindex
Llmops
Python
PyTorch
SQL
Vector Databases

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