OverviewMedallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.
We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.
We empower exceptional people to create extraordinary experiences together.
Bring your whole self.
The Role
At Medallia, we help the world’s leading organizations capture experience signals and transform them into real-time intelligence and action. As AI-native systems evolve, traditional transactional architectures are no longer enough. The future belongs to platforms that can continuously sense, interpret, and react to live operational and behavioral signals in real time.
We are building the next generation of intelligent, event-driven platforms and are looking for a Principal Data & Event Intelligence Engineer to architect the real-time nervous system powering AI-driven decisioning, automation, and personalization across Medallia.
Mission
Transform the enterprise from static CRUD and transactional systems into a real-time intelligence platform. This role is responsible for building the foundational event and streaming infrastructure that powers operational AI, behavioral intelligence, autonomous workflows, and adaptive customer experiences. You will design the systems that continuously ingest, process, enrich, and activate enterprise signals at scale — enabling AI systems and products to operate with real-time awareness and responsiveness.
ResponsibilitiesEvent-Driven Platform Architecture
Architect and scale enterprise-wide event-driven systems powering real-time intelligence and AI workflowsDesign highly resilient streaming architectures supporting billions of events and low-latency processingBuild foundational event ingestion, routing, enrichment, and distribution frameworksDefine event contracts, schemas, governance standards, and interoperability patterns across platformsDrive the transition from request/response transactional systems toward reactive, event-native architecturesReal-Time Signal & Behavioral Intelligence
Build real-time customer, employee, product, and operational signal pipelinesDevelop behavioral intelligence systems that continuously analyze activity streams and contextual signalsCreate streaming analytics capabilities enabling dynamic decisioning, anomaly detection, and adaptive workflowsBuild operational AI feedback loops that continuously improve AI systems using live interaction dataEnable AI systems to react to changing enterprise state with minimal latencyData Infrastructure & Temporal Systems
Design feature stores, event stores, and temporal data architectures optimized for AI and machine learning workloadsBuild systems supporting time-aware reasoning, sequence analysis, sessionization, and historical replayImplement cross-platform telemetry normalization and unified signal modelingDevelop scalable infrastructure for high-throughput event storage, retention, replay, and observabilityOptimize data freshness, consistency, throughput, and processing efficiency at scalePersonalization & Agent Activation
Build real-time personalization infrastructure powering adaptive user experiences and intelligent workflowsDesign agent-trigger systems enabling autonomous AI actions based on live signals and behavioral conditionsCreate context propagation and streaming enrichment systems supporting AI orchestration frameworksPartner with AI platform teams to integrate event intelligence into agentic and autonomous systemsTechnical Leadership & Platform Strategy
Establish architectural standards and best practices for streaming and event-driven engineeringDrive platform modernization initiatives across data, infrastructure, and AI ecosystemsMentor engineers and influence technical direction across multiple teams and organizationsPartner with Product, Infrastructure, AI, and Security teams to operationalize real-time intelligence capabilitiesEvaluate emerging technologies in streaming systems, event processing, and operational AI infrastructure, and AI groundingCandidates based in the Buenos Aires vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.
QualificationsMinimum Qualifications
10+ years of experience building large-scale distributed systems, streaming platforms, or real-time data infrastructure with expertise in event-driven architectures and distributed streaming systemsDemonstrated experience with technologies such as Kafka, Pulsar, Flink, Spark Streaming, Kinesis, or similar platformsDemonstrated experience building low-latency, high-throughput real-time processing systems at enterprise scaleDemonstrated understanding of temporal data systems, feature stores, and streaming analytics architecturesDemonstrated experience designing scalable telemetry, observability, or behavioral data platformsDemonstrated experience with programming in Java, Scala, Go, Python, or similar backend technologiesDemonstrated experience with cloud-native infrastructure, Kubernetes, and distributed runtime environmentsProven ability to lead large-scale technical initiatives across organizational boundariesFluenct in English, oral and writtenPreferred Qualifications
Experience building operational AI or real-time personalization systemsFamiliarity with agentic systems, event-triggered workflows, or AI orchestration frameworksExperience integrating streaming systems with AI/ML pipelines and inference platformsKnowledge of real-time experimentation, recommendation systems, or adaptive decisioning architecturesExperience with schema evolution, data governance, and multi-tenant event platform designContributions to open-source streaming, data infrastructure, or observability ecosystemsWhat Success Looks Like
Build a scalable, resilient real-time intelligence platform powering AI-native experiences across MedalliaEnable enterprise systems to continuously react to live customer and operational signalsReduce latency between signal generation, intelligence creation, and automated actionCreate foundational infrastructure for operational AI, autonomous workflows, and adaptive personalizationStandardize and modernize the company’s event-driven architecture strategyImprove platform observability, telemetry quality, and behavioral intelligence across products and servicesWhy Join Medallia
Help redefine enterprise architecture for the AI-native eraWork on deeply technical distributed systems and real-time intelligence challenges at scaleBuild the event infrastructure powering next-generation AI products and autonomous workflowsInfluence platform strategy across AI, data, and infrastructure engineeringCollaborate with exceptional engineers and technical leaders solving complex enterprise-scale problems