LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.
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.
As the Senior Product Manager for Analytics, you will lead the development and execution of our Analytics capabilities, focusing on leveraging conversational data to provide actionable customer and internal insights. You will collaborate closely with cross-functional teams, including Engineering, Data Science, Sales, and Customer Success, to define product strategy, prioritize features, and deliver innovative solutions that ensure scalability, reliability, and best-in-class experiences for brands.
You Will: 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.
Work closely with Data Science and Engineering teams to integrate Conversational Intelligence (AI/ML-derived insights) features directly into the core analytics products.
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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.
You Have: 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.
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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.
Our Benefits & Perks
We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.
🏥 Health & Wellbeing
Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs.
Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling.
💰 Financial Security & Growth
401(k) Retirement Plan: To help you plan for your financial future by offering both the plan and a 4% employer match (100% match on the first 3% contribution and 50% match on the next 2% contribution)
HSA & FSA Plans: To help you plan for health related expenses on a pre-tax basis
Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth.
Additional Insurances: Basic and supplemental life insurance, Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance.
Development: Access to internal professional development resources.
👨👩👧👦 Time Away & Family Support
Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval.
Paid Public Holidays.
Generous Parental Leave Policy: Including maternity/paternity support and fertility services.
💻 Workplace Flexibility
Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.
Why You’ll Love Working Here
As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.
Belonging at LivePerson: Equal Opportunity Employer
We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.
Accessibility Commitment
LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with di
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