RoomPriceGenie
Associate Data Engineering Manager(m/w/x)
Full-timeRemoteManagement
Mannheim, Berlin
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LILivePerson
Senior Technical Product Manager - Analytics(m/w/x)
Mannheim, Berlin
Full-timeRemoteSenior
AI/ML
Nejo AI Summary
Defining features for Analytic Studio and Report Center, managing Data Services roadmaps at a conversational AI platform. 7+ years product management for SaaS analytics products, with deep data warehousing knowledge required. 20% deferred pension contribution, ESPP, annual bonus.
Requirements
- Bachelor's degree in Computer Science, Engineering, Business, or related field (MBA preferred)
- 7+ years product management experience with SaaS analytics/reporting products
- Deep understanding of data warehousing, BI tools, reporting systems, high-scale data processing, event-driven architectures, cloud infrastructure
- Proven ability to develop/execute product strategy for data/analytics products, prioritize features, drive roadmap planning in agile environment
- Strong analytical skills for data interpretation, trend identification, data-driven decisions
- Excellent communication, collaboration, leadership skills to influence cross-functional teams
- Experience with enterprise customers on reporting/analytics needs, strong customer focus, empathy for data consumption pain points
- Passion for innovation, creativity, solving complex data/reporting challenges
Tasks
- Develop and articulate product vision and strategy.
- Empower customers and internal teams with actionable insights.
- Define, review, and prioritize features for Analytic Studio and Report Center.
- Ensure intuitive user experience for data exploration, visualization, and report scheduling.
- Manage product roadmaps for Data Services and Data Transporter.
- Ensure timely, accurate, and scalable ingestion of petabyte-scale data.
- Ensure timely, accurate, and scalable preparation of petabyte-scale data.
- Collaborate with Data Science and Engineering teams.
- Integrate AI/ML-derived insights into core analytics products.
- Define and track KPIs for data pipelines and analytic tools.
- Define and track data quality metrics for data pipelines and analytic tools.
- Ensure high data reliability, freshness, and tool usage.
- Act as primary interface for Analytics users and Data Engineering.
- Translate complex data requirements into technical specifications.
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Benefits
Retirement Plans
- Deferred pension scheme (20% contribution)
Competitive Pay
- ESPP
Bonuses & Incentives
- Annual bonus
Additional Allowances
- Internet reimbursement
- Mobile reimbursement
Learning & Development
- Professional development resources
More Vacation Days
- Flexible Paid Time Off (PTO)
- 33 days personal time off
Purpose-Driven Work
- Volunteering days
Flexible Working
- Remote-first model
- Flexible working hours
- Work from anywhere
Team Events
- Monthly connection pizza day
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of LivePerson and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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LILivePerson
Senior Technical Product Manager - Analytics(m/w/x)
Mannheim, Berlin
Full-timeRemoteSenior
AI/ML
Nejo AI Summary
Defining features for Analytic Studio and Report Center, managing Data Services roadmaps at a conversational AI platform. 7+ years product management for SaaS analytics products, with deep data warehousing knowledge required. 20% deferred pension contribution, ESPP, annual bonus.
Requirements
- Bachelor's degree in Computer Science, Engineering, Business, or related field (MBA preferred)
- 7+ years product management experience with SaaS analytics/reporting products
- Deep understanding of data warehousing, BI tools, reporting systems, high-scale data processing, event-driven architectures, cloud infrastructure
- Proven ability to develop/execute product strategy for data/analytics products, prioritize features, drive roadmap planning in agile environment
- Strong analytical skills for data interpretation, trend identification, data-driven decisions
- Excellent communication, collaboration, leadership skills to influence cross-functional teams
- Experience with enterprise customers on reporting/analytics needs, strong customer focus, empathy for data consumption pain points
- Passion for innovation, creativity, solving complex data/reporting challenges
Tasks
- Develop and articulate product vision and strategy.
- Empower customers and internal teams with actionable insights.
- Define, review, and prioritize features for Analytic Studio and Report Center.
- Ensure intuitive user experience for data exploration, visualization, and report scheduling.
- Manage product roadmaps for Data Services and Data Transporter.
- Ensure timely, accurate, and scalable ingestion of petabyte-scale data.
- Ensure timely, accurate, and scalable preparation of petabyte-scale data.
- Collaborate with Data Science and Engineering teams.
- Integrate AI/ML-derived insights into core analytics products.
- Define and track KPIs for data pipelines and analytic tools.
- Define and track data quality metrics for data pipelines and analytic tools.
- Ensure high data reliability, freshness, and tool usage.
- Act as primary interface for Analytics users and Data Engineering.
- Translate complex data requirements into technical specifications.
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Benefits
Retirement Plans
- Deferred pension scheme (20% contribution)
Competitive Pay
- ESPP
Bonuses & Incentives
- Annual bonus
Additional Allowances
- Internet reimbursement
- Mobile reimbursement
Learning & Development
- Professional development resources
More Vacation Days
- Flexible Paid Time Off (PTO)
- 33 days personal time off
Purpose-Driven Work
- Volunteering days
Flexible Working
- Remote-first model
- Flexible working hours
- Work from anywhere
Team Events
- Monthly connection pizza day
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of LivePerson and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
LivePerson
Industry
IT
Description
The company is the global leader in enterprise conversations, providing a Conversational Cloud platform for better customer experiences.
Not a perfect match?
- RoomPriceGenie
Associate Data Engineering Manager(m/w/x)
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Full-timeWith HomeofficeSeniorHeidelberg - HMS Analytical Software GmbH
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Full-time/Part-timeWith HomeofficeSeniorHeidelberg, Berlin, Ulm - Heidelberg Materials
Senior Product Owner Digital IIoT & CBM Solutions(m/w/x)
Full-timeWith HomeofficeSeniorHeidelberg - RoomPriceGenie
Hands-On Data Engineering Manager(m/w/x)
Full-timeRemoteManagementMannheim, Berlin