Senior Product Manager (Data and AI Platform)

Join ServiceTitan, the operating system for the trades, as a Senior Product Manager for our Data & AI Platform team. In this role, you will own the algorithmic systems that drive product features and make critical decisions about prioritization and trust. You will translate complex statistical problems into clear product requirements, evaluate model tradeoffs, and set measurable goals for algorithmic system health. This is a heavily stats-driven role that requires strong communication skills and a self-starter mentality.

• Define and own the roadmap for algorithmic systems, translating customer pain into statistically rigorous product requirements.
• Co-author PRDs for statistically ambiguous problems, defining evaluation criteria and leading cross-functional teams toward measurable goals.
• Proactively identify and resolve disagreements over methodology, ownership, and model quality, ensuring alignment across teams.
• Comfort context-switching between different algorithmic domains as customer and business priorities shift
• 5+ years of product management experience, strong track record in enterprise B2B SaaS; experience with at least one of ranking/recommendation systems, entity resolution, or causal inference — this role will likely touch more than one over time
• Experience translating customer-reported problems (bad matches, low trust in recommendations, wrong conclusions) into statistically defined product work
• Genuine statistical fluency — comfortable with precision/recall tradeoffs, confounding vs. causation, and model evaluation, regardless of which specific problem you're applied to
• Demonstrated ability to define evaluation criteria and "what correct looks like" for a new statistical problem from scratch, rather than working from an existing rubric
• Self-starter who takes initiative and holds themselves accountable to outcomes — "mostly works" isn't good enough when customers are trusting your systems with real decisions
• Strong communication skills — explaining model tradeoffs to domain PMs, ML engineers, and customers who each need a different level of technical detail
• 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