Frontend Engineer (AI/ML, NLP, LLM, React, Vue, JavaScript/TypeScript)

Job description

"The Skills that are Key to this role Technical - Hands-on experience with one or more leading Customer Data Platforms (CDPs) such as Twilio Segment (preferred), Salesforce Data Cloud, Adobe Real-Time CDP, Microsoft Dynamics 365 Customer Insights, Tealium AudienceStream, Treasure Data, mParticle, Hightouch, Census, or GrowthLoop. - Strong understanding of customer profile unification, identity resolution, audience management, data governance, and activation capabilities. - Experience implementing and supporting CDP integrations across multiple data sources and destinations, including Web, Mobile, Events, APIs, Data Warehouses, Salesforce, Adobe, Marketing Automation platforms, Files, and custom enterprise applications. - Experience working with modern warehouse-connected and zero-copy architectures leveraging Snowflake for customer data management, audience activation, and analytics. - Experience leveraging CDP platforms for customer engagement and cross-channel activations across Email, Web, Mobile, and journey-based marketing campaigns. - Strong experience developing cloud-native solutions on AWS, including Kubernetes, Lambda, event-driven architectures, messaging platforms, and API-based integrations, with programming experience in Java and Python. - Experience with Snowflake data engineering, including data modeling, SQL development, data transformation, and performance optimization for large-scale data processing workloads - Experience with database technologies such as DynamoDB and PostgreSQL. - Experience building scalable, secure, and high-performing solutions with strong consideration for availability, reliability, maintainability, performance, and operational excellence. Behavioral Skills - Excellent communication and articulation skills, with the ability to build relationships and influence cross-functional teams - Proven ability to collaborate with marketing, business, and technology stakeholders, as well as SaaS vendors, to simplify complex concepts and drive alignment on solutions and trade-offs - Strong presence to demonstrate platform features, capabilities, and solutions to support key organizational initiatives - Excellent analytical and problem-solving skills, with an innovative and forward-thinking approach to addressing challenges within complex data and SaaS environments - Subject matter expertise in marketing segmentation, data, and end-to-end campaign setup and activation across Email, Web, Mobile, and Paid Media channels - Highly adaptable and curious, with a passion for learning new technologies, frameworks, and industry best practices. The Skills that are Good to Have for this role - Strong front end skills using frameworks and technologies such as React, Vue, HTML/CSS, and JavaScript/TypeScript. - Familiarity with AI/ML and Generative AI technologies, including LLMs, prompt engineering, RAG, and embeddings, and their application across CDPs, customer data, personalization, customer journeys, and marketing activation use cases. - Exposure to predictive and AI-driven customer analytics, including propensity modeling, churn prediction, customer lifetime value (CLV) optimization, and audience intelligence. - Knowledge of responsible AI practices, including governance, data privacy, explainability, and model performance monitoring."