LivePerson
Senior Tech Product Manager - Analytics
New York, New York · Senior
Sponsorship not specified$110k-$125kDetected 5 days ago
Cloud PlatformsMachine LearningData AnalysisData EngineeringData ScienceAccessibilityProduct ManagementProduct StrategyRoadmappingCustomer SuccessLeadershipCommunicationCollaboration
About the role
- 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.
Responsibilities
- 👨👩👧👦 Time Away & Family Support
- We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.
- LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success.
- 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.
Requirements
- If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com
Nice to have
- 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.
- Strong analytical skills, with the ability to gather and interpret data, identify trends in product usage, and make data-driven decisions.
Skills
- 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.
- Fast Company named LivePerson the #1 Most Innovative AI Company in the world.
- Position Overview
- Tools for creating, visualizing, and sharing reports, dashboards, and custom analytics using conversational data.
Compensation
- The salary range for this role will be between $110,000 to $125,000 USD.
Benefits
- 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.
- 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
- Comprehensive plans to support your health needs.
- Access to wellbeing resources and programs including our EAP plan.
- To help you plan for health related expenses on a pre-tax basis
- Including maternity/paternity support and fertility services.
- Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.
Company info
- Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth.
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 disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.
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This listing is sourced directly from LivePerson's careers page and normalized into a canonical job model.