Marketing Technology Specialist

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📋 Description

• Build, configure, and maintain lifecycle campaigns and automated customer journeys across email, SMS, push, and web popups • Configure and troubleshoot Braze and Klaviyo flows, audience segmentation, trigger logic, customer attributes, custom events, and personalization • Support QA and deployment of promotional campaigns, ensuring targeting, links, dynamic content, timing, and rendering • Develop and maintain internal tools, automations, and AI-assisted workflows using Claude Code and other AI development tools • Partner with engineering, analytics, and product teams to validate tracking and troubleshoot data issues • Investigate lifecycle issues across data pipelines, integrations, audience qualification, campaign logic, and reporting • Build and maintain technical documentation, operational playbooks, and lifecycle best practices • Improve the scalability, reliability, and performance of lifecycle marketing infrastructure • Help design and implement customer attributes, events, data pipelines, integrations, and lifecycle capabilities • Identify repetitive operational work and build scalable automation solutions • Partner with lifecycle team members to improve experimentation, reporting, and operational processes • Serve as a technical subject matter expert for Braze, Klaviyo, and related marketing technologies across the Growth organization

🎯 Requirements

• 3–5+ years of hands-on experience in marketing automation, lifecycle marketing operations, or marketing technology • Experience with Braze, Klaviyo, Iterable, Salesforce Marketing Cloud, or similar enterprise marketing automation platforms • Strong attention to detail and technical problem-solving skills • Experience configuring customer attributes, custom events, audience segmentation, triggered campaigns, and marketing automation workflows • Experience with HTML, Liquid, APIs, JSON, SQL, or AI-assisted development tools such as Claude Code or Cursor is highly valued • Strong written and verbal English communication skills • Ability to work during U.S. Eastern Time business hours, 9:00 AM–6:00 PM ET • Experience with experimentation frameworks, Python, JavaScript, workflow automation tools, Snowflake, GA4, Segment, or Shopify is a bonus • Genuine curiosity about AI-assisted tools and eagerness to adopt them

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