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Lead CX strategy and transformation for enterprise clients using LivePerson's Conversational Growth Path. Partner with executives, Sales, Product, and Success to build multi-year AI-driven CX roadmaps, run maturity assessments, and scale analytics and conversation design centers of excellence to drive measurable business outcomes.

Lead enterprise CX strategy by partnering with C-level stakeholders to define multi-year conversational AI roadmaps, champion the Conversational Growth Path, and run COEs for Data Analytics and Conversational Design to deliver measurable business outcomes, executive alignment, and ROI.

Lead and supervise a Customer Response Specialist team, own critical technical escalations and incident management, coach and develop specialists, optimize support processes, and collaborate with global stakeholders to maintain operational KPIs and customer satisfaction in a 24x7 SaaS environment.

Lead design, build, and operation of LivePerson's observability platform for logs, metrics, traces, alerts, and synthetic monitoring. Own large-scale telemetry pipelines, Kubernetes-based observability services, define standards and dashboards, collaborate with cross-functional teams, evaluate new tools (OpenTelemetry, anomaly detection), and deliver scalable, production-grade monitoring solutions.

Lead complex enterprise SaaS sales for LivePerson's conversational AI platform. Own multi-million-dollar opportunities, build C-level relationships, apply value-based selling (MEDDPICC), manage full sales cycle and pipeline, collaborate cross-functionally, and influence product strategy to drive measurable revenue growth.

Lead strategic enterprise sales for LivePerson's Conversational AI platform, owning full complex sales cycles and multi-million-dollar opportunities. Build C-level relationships, use value-based selling and MEDDPICC methodology, forecast accurately, and collaborate cross-functionally to drive adoption of AI messaging, voice, and automation solutions that deliver measurable ROI.

Lead migration of legacy Hadoop/Spark/Impala data pipelines to a cloud-native Databricks platform. Design and build scalable Airflow/Databricks ETL pipelines, ensure data quality, improve observability and reliability, and use AI coding assistants to accelerate modernization while validating performance and architecture.

As a Junior DevOps Engineer, you will develop automation solutions, collaborate with teams, utilize cloud technologies, and troubleshoot issues in various environments.

Own and evolve LivePerson's GKE-based platform across GCP and on-prem: design Terraform automation, operate GitOps pipelines (FluxCD), manage secrets (Vault, GCP Secret Manager, SOPS/KMS), harden Istio service mesh, enforce policies with OPA Gatekeeper, build GitLab CI/CD, monitor with Prometheus/Grafana/Kiali, mentor engineers, participate in on-call rotations, and drive incident response and platform reliability.

Define and execute product strategy and roadmap for the Analytics suite (Analytic Studio, Report Center, Data Services, Data Transporter). Drive petabyte-scale data ingestion/ETL, integrate conversational AI/ML insights, set KPIs and data quality metrics, prioritize features, and translate user requirements into technical specs while collaborating with Engineering, Data Science, Sales, and Customer Success.