Senior Principal Product Manager - GTM Analytics

About the role

We are seeking a visionary, hands-on Senior Principal Product Manager to drive GTM Analytics, fundamentally transforming how insights are generated and consumed in an increasingly AI-driven world. In this pivotal role, you will be responsible for defining the GTM Analytic strategy & roadmap and guiding execution alongside a skilled team of Data Engineers.

Responsibilities

• Develop, maintain, and prioritize the GTM Analytics roadmap, strategically balancing immediate wins with long-term initiatives.
• Translate business needs and stakeholder requests into clear, actionable technical epics.
• Define and own the Product Requirements Document (PRD) for strategic GTM projects, ensuring rigorous standards for metric definition, data quality, and monitoring.
• Analyze GTM data to share strategic insights with GTM leadership on a regular basis.
• Act as the core liaison between business leadership and the engineering team, transforming GTM strategy into concrete execution plans and effectively managing delivery commitments across cross-functional teams.
• Drive the cultural shift from "requesting a report" to "interacting with an agent."
• You will lead the internal GTM community in adopting AI-driven workflows and insights.
• Champion the use of the proprietary Natural Language AI data analyzer.
• Lead the onboarding of GTM datasets, continuously refining the business context layer with golden queries and rigorously tested Evals to address high-value business scenarios.
• Quickly build and iterate on functional prototypes using AI-native tools to validate concept and user experience fit.
• Represent the data track in vertical AI initiatives, ensuring key data signals are readily available in workflows to boost user productivity and drive superior business outcomes.
• Develop agentic MVPs in coding tools such as Cursor to rapidly accelerate time to deploy AI enabled solutions.
• Utilize the in-house, proprietary AI tool to convert Business Requirements into actionable Product Requirements and User Stories.
• Own the centralized data catalog for all GTM metrics and critical data elements.
• Partner closely with Data Stewards and IT Engineering teams to strategically inspect, prioritize, and manage data quality remediation efforts.

Qualifications

• Bachelor’s degree with 15+ years of relevant experience, Master’s degree with 12+ years of relevant experience, or PhD with 8+ years of relevant experience.
• Proven track record of managing the end-to-end delivery of data and analytics products from concept through launch at an enterprise level.
• Expert ability to deconstruct complex challenges, formulate hypotheses, execute data-driven analysis, and translate findings into practical, actionable recommendations.
• Demonstrated proficiency in analytics across the Customer Journey, including an expert understanding of processes and key performance metrics for Lead-to-Opportunity conversion, Sales Forecasting, Pipeline Coverage and Quality, and Post-sales tracking of Customer Value, Renewals, and Expansion rates.
• Hands-on experience developing functional prototypes and fully functioning MVPs using AI coding tools such as Cursor.
• Solid understanding of Large Language Model (LLM) capabilities, including concepts such as context windows, RAG, and memory.