Senior Tech Product Manager - Analytics

Position Overview

As a Senior Technical Product Manager, you will join the LivePerson Analytics Product team and be responsible for the Analytics suite, including Data services, Analytics Studio, Report Center, Data Transporter etc. The core responsibility is to define the strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights.

Key Responsibilities & Impact

• 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.
• Collaborate 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.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred).
• 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.

Product Coverage Scope

• Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports, dashboards, and custom analytics using conversational data.
• Data Transporter & Data Services: Infrastructure and pipelines for extracting, transforming, and loading (ETL) large volumes of raw conversational data (e.g., transcripts, metadata, bot interactions) into analytical data stores.
• Conversational Intelligence (Conv Intelligence) Analytics: Features that leverage AI/ML to derive insights from conversations, such as sentiment analysis, topic clustering, and intent detection, and making these insights available through the Analytic Studio.

Pay

The salary range for this role will be between $110,000 to $125,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.

Benefits & Perks

• Health & Wellbeing: Medical, Dental, and Vision Insurance, Wellness Resources, Health & Mental Support, 401(k) Retirement Plan, HSA & FSA Plans, Employee Stock Purchase Program (ESPP).
• Financial Security & Growth: 401(k) Retirement Plan, 4% employer match, HSA & FSA Plans, Employee Stock Purchase Program (ESPP).
• Time Away & Family Support: Flexible Paid Time Off (PTO), Paid Public Holidays, Generous Parental Leave Policy.
• Workplace Flexibility: Remote-First Model, Dedicated WeWork space for in-person collaboration.

Accessibility Commitment

We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.