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 (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.

Benefits

Additional Pension scheme: deferred pension scheme (LivePerson contributes 20%), ESPP and annual bonus depending on achievements
Equipment: Internet and Mobile reimbursement
Development: Access to internal professional development resources.
Flexible Paid Time Off (PTO): Personal time off 33 days , vacation (28 days) and care days (5)
Paid Public Holidays.
Volunteering Days: Use them to make a difference in your community. Whether it's a cleanup, supporting a local initiative or holding an “Ehrenamt”, just let us know! We're here to help you create a meaningful impact.
Remote-First Model: Be flexible, work flexibly and from anywhere - no defined working hours or boundaries with offices in Mannheim and Berlin
Monthly Connection: Join our monthly connection pizza day in the office!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

product managementSaaS analyticsreporting productsdata warehousingbusiness intelligencereporting systemshigh-scale data processingevent-driven architecturescloud infrastructuredata pipeline management

Soft Skills

analytical skillscommunication skillscollaboration skillsleadership skillsinfluencecustomer focusempathyinnovationcreativityproblem-solving

Certifications

Bachelor's degreeMBA