Senior Product Manager, Customer Lifecycle - ServiceTitan

Ready to be a Titan?

ServiceTitan is the leading operating system for the trades -- powering everything from marketing and dispatch to payments and accounting for residential, commercial, and exterior contracting businesses. We're looking for a Senior Product Manager to join the Lifecycle Intelligence team and help define how AI transforms the post-sales customer experience.

You'll own critical parts of the intelligence that makes our platform smarter for every customer interaction -- from the moment a contractor finishes onboarding through years of daily use. You'll work at the intersection of large language models, deep product domain knowledge, and real customer outcomes, building AI-powered experiences that help contractors get more value from ServiceTitan and help our teams serve them more effectively.

If you've shipped AI products in production, think in eval frameworks before you think in feature specs, and want to apply that craft to a platform used by tens of thousands of businesses every day -- we want to hear from you.

What you'll do

Own a portfolio of AI-powered use cases within our agentic customer lifecycle experience. You'll be responsible for specific customer outcomes and ensuring our AI agents have the capabilities to achieve those for our customers.

Drive discovery for how AI can help customers optimize their usage of ST and get the help they need, and how we can drive AI capabilities in new channels for customers.

Collaborate deeply with engineering and data science to shape the context layer and how we can create delightful customer experiences in any/all channels.

Partner with post-sales teams (Support, Customer Success) to uncover customer and team needs. Identify opportunities for scalable, automated approaches vs. manual ones.

Measure impact. Define the right success criteria and ensure we are evaluating and improving accuracy and coverage at all times. Use the data to inform what we do next.

What you'll bring

Experience: 5+ years of Product Management experience in B2B SaaS, with at least 2 years shipping AI/ML-powered products in production.

AI product craft: Experience shipping agentic AI solutions. Fluency in eval frameworks, deterministic vs. non-deterministic approaches and where each is appropriate, and data-driven iteration on model performance.

Analytical rigor: Comfort with quantitative data assessing every aspect of the journey from customer behavior to AI agent accuracy to business outcomes. You can dig into agent performance data, identify patterns in failure modes, and translate findings into product decisions.

Strategic communication: Ability to work effectively with operations leaders, engineering teams, and data scientists. You can frame AI capabilities in terms of customer and business outcomes, not just technical sophistication. You write clearly, present concisely, a