Senior Manager of Data Service

Location: Berlin, Germany Remote Status: Fully Remote (#LI-Remote) 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 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 You Will: 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 You Have: Required Skills & Qualifications Experience & Leadership 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 Technical Depth 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 Modern Data Platforms 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 Cloud & Platform Engineering Experience operating microservices in Kubernetes environments (GKE preferred) Strong focus on reliability, scalability, and observability Communication & Collaboration 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.

Nice to Have

Experience in conversational AI, contact center platforms, or customer engagement systems Experience with Java-based microservices (e.g., Spring Boot) Familiarity with data integration patterns (connectors, webhooks, event-driven systems) Our Benefits & Perks We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees. Financial Security & Growth 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. ‍ ‍ ‍ 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. 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. Workplace Flexibility 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! 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 disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection. Important Candidate Notice The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets. Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact [email protected] Apply To This Job