Staff Product Manager (Communications Intelligence)

Join ServiceTitan, the operating system for the trades. As a Staff Product Manager for Communications Intelligence, you will own the end-to-end product vision, strategy, and execution for the data, reporting, and intelligence layer across ServiceTitan’s Communications & Contact Center portfolio. This high-autonomy role requires a hands-on data product builder who loves working with data and has a strong technical fluency in data modeling, metric semantics, and analytics pipelines.

• Définir et posséder la vision à long terme et la feuille de route intégrée pour les données de communication, les rapports opérationnels, les tableaux de bord, les API, l'intelligence vocale et les insights alimentés par l'IA.
• Diriger des initiatives à fort impact qui créent des améliorations significatives dans la manière dont ServiceTitan capture, comprend et active les données de communication.
• Assurer l'alignement avec la direction exécutive, les directeurs d'ingénierie, la science des données, le design, les opérations, le go-to-market et les équipes de produits adjacentes sans s'appuyer sur une autorité formelle.
• Demonstrated ability to independently create high-fidelity product prototypes using Figma Make, Claude Design, or comparable AI-assisted prototyping tools, and to use those prototypes for customer validation, stakeholder alignment, requirements definition, and engineering collaboration
• Proven success defining a long-term vision and delivering measurable outcomes across multiple teams and interconnected technical systems
• 7+ years of product management or equivalent product leadership experience, with demonstrated ownership of a complex platform, data, analytics, AI, and communications product area
• Strong technical fluency in data modeling, metric semantics, data platforms, APIs, event-driven systems, analytics pipelines, data quality, and system-of-record design
• Track record of influencing senior leaders and aligning engineering, design, data, AI, operations, and go-to-market partners around complex initiatives
• Demonstrated ability to define product and AI quality metrics, reason from data, and connect technical investments to customer and business outcomes
• Demonstrated enthusiasm and hands-on experience building data-intensive products, including operational reports, dashboards, analytics, APIs, workforce or quality-management tools, coaching experiences, or AI-powered enterprise products