• Collect, organize and analyze data from multiple sources (CRM, digital media, market research, sales data, etc.); • Develop dashboards and periodic reports to track marketing and sales KPIs; • Generate strategic insights to support campaign decisions, customer segmentation and prioritization of commercial opportunities; • Conduct sales funnel analyses, identifying bottlenecks and opportunities for improvement; • Evaluate campaign performance (ROI, CAC, LTV, conversion) and recommend optimizations; • Support strategic planning with market, competitor and trend analyses; • Work closely with marketing, sales, product and BI teams to ensure data consistency and quality; • Present results and recommendations clearly to stakeholders;

• Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. • Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. • Collect, clean, and structure large datasets to ensure accuracy and usability. • Define and track KPIs for marketing, product, and business performance. • Work with SQL, Python, or R to extract, analyze, and manipulate data. • Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. • Conduct A/B testing and experiment analysis to improve product features and user engagement. • Identify bottlenecks and opportunities in user journeys and customer funnels. • Present findings in a clear and compelling way to stakeholders and leadership teams. • Stay up to date with industry trends, analytics best practices, and emerging data tools.

Role Description We are seeking a Senior Engineering Manager to lead our globally distributed Data Services team across Europe, Israel, and India. This is a high-impact leadership role responsible for both platform evolution and organizational scaling, including establishing and growing our data engineering hub in India. You will own systems that sit at the core of LivePerson’s near-real-time data platform, streaming, processing, storing, and serving both meta data and content for conversations at massive scale, enabling analytics, AI application, and customer integration. This role combines: - Deep technical leadership in distributed data systems - Strong execution across global teams - Strategic ownership of platform modernization Key Responsibilities & Impact - Lead & Scale a Global Engineering Organization - Build, lead, and grow a high-performing, distributed team across EU, Israel, and India - Drive a culture of ownership, accountability, and operational excellence - Own the Data Platform Implementation and Support - Evolve the architecture for near-real-time data platforms - Lead design decisions across streaming, storage, indexing, and access layers - Ensure systems are scalable, resilient, and aligned with long-term product strategy - Deliver at Scale - Partner with Product and Architecture to translate vision into executable roadmaps - Drive delivery of a large fleet of microservices running on Kubernetes (GKE) - Ensure predictable, high-quality releases across a complex distributed system - Modernize the Data Stack - Lead migration from legacy Hadoop/Spark environments to modern platforms such as Databricks - Balance innovation with reliability and business continuity - Reduce system complexity while improving performance and cost efficiency - Drive Operational Excellence - Define and enforce SLOs/SLAs across the data platform - Own reliability, observability, and incident response processes - Build scalable on-call and production support models across time zones - Partner Across the Business - Act as a key engineering partner to Product, Analytics, and Go-To-Market teams - Communicate technical strategy, trade-offs, and risks clearly to senior stakeholders - Align platform capabilities with customer and business outcomes Qualifications - Bachelor's degree in Computer Science, Computer Engineering, or a related field. - 10+ years in software/data engineering, with strong backend or data platform experience - 5+ years managing engineering teams, including globally distributed organizations - Strong skills in Agile methodologies. - Strong communication skills (including English language skills) and organizational skills - Proven ability to hire, grow, and retain high-performing teams Requirements - Strong background in distributed systems and large-scale data platforms - Hands-on experience with: - Streaming systems (e.g., Kafka) - NoSQL databases (e.g., Cassandra) - Search/indexing systems (e.g., Elasticsearch) - Deep understanding of real-time vs batch processing trade-offs - Experience with big data frameworks (Spark, MapReduce) - Exposure to modern data platforms such as Databricks or lakehouse architectures - Experience driving platform migrations or modernization initiatives - Experience operating microservices in Kubernetes environments (GKE preferred) - Strong focus on reliability, scalability, and observability - Strong cross-functional communication and highly organized collaboration skills. - Proven decisiveness in establishing clear ownership boundaries and sticking to decisions to mitigate delays from distributed and unclear boundaries. - Discipline to document and reference all decisions to ensure the distribution of responsibilities and ownership remains clear and backed by documentation for all stakeholders. - Ability to influence stakeholders across engineering, product, and business teams. Benefits - Financial Security & Growth - Additional Pension scheme: deferred pension scheme (LivePerson contributes 20%), ESPP and annual bonus depending on achievements - Equipment: Internet and Mobile reimbursement - Access to internal professional development resources. - Time Away & Family Support - 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. - Workplace Flexibility - Remote-First Model: Be flexible, work flexibly and from anywhere - no defined working hours or boundaries with offices in Mannheim and Berlin - Join our monthly connection pizza day in the office!

• Build and maintain revenue and performance dashboards and KPIs; • Structure and integrate data from different sources (Sales, Finance, Operations); • Ensure data quality, standardization, and governance; • Support analyses of pipeline, conversion, and efficiency; • Identify improvements and automation opportunities; • Support the evolution of Revenue Planning processes.