Senior Tech Product Manager - Analytics

LivePerson is a leader in trusted enterprise conversational AI and digital transformation. As a Senior Technical Product Manager, you will be responsible for the Analytics suite, leading the development and execution of Analytics capabilities to provide actionable insights from conversational data.

Responsibilities:

• Develop and articulate a clear product vision and strategy for our end-to-end Analytics platform, ensuring it empowers customers and internal teams to gain actionable insights from Conversational Data
• Define, review, and prioritize features for the Analytic Studio/Builder and Report Center, focusing on an intuitive user experience for data exploration, visualization, and report scheduling
• Manage the product roadmap for Data Services and Data Transporter, guaranteeing the timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams
• Work closely with Data Science and Engineering teams to integrate Conversational Intelligence (AI/ML-derived insights) features directly into the core analytics products
• Define and track key performance indicators (KPIs) and data quality metrics for all data pipelines and analytic tools, ensuring high data reliability, freshness, and tool usage
• Act as the primary interface between Analytics users (internal and external) and the Data Engineering teams, translating complex data requirements into clear, technical specifications

Requirements:

• Bachelor's degree in Computer Science, Engineering, Business, or a related field
• 7+ years of experience in product management, with a track record of successfully launching and managing SaaS analytics and reporting products or platforms
• Deep understanding of data warehousing, business intelligence (BI) tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure
• Proven ability to develop and execute product strategy for data and analytics products, prioritize features, and drive product roadmap planning in a fast-paced, agile environment
• Strong analytical skills, with the ability to gather and interpret data, identify trends in product usage, and make data-driven decisions
• Excellent communication, collaboration, and leadership skills, with the ability to influence and inspire cross-functional teams (e.g., Data Engineering, Data Science, Design)
• Experience working with enterprise customers on their reporting and analytics needs and a strong customer focus, with the ability to empathize with customer data consumption pain points
• Passion for innovation, creativity, and solving complex data and reporting challenges to deliver impactful, self-service solutions
• MBA preferred