Production Senior Specialist

Expedia•Seattle, WA

23h

About The Position

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Production Senior Specialist We create and deliver tailored marketing strategies for Expedia Group’s brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Are you a Senior Salesforce Marketing Cloud Developer who wants to own CRM production end-to-end while helping shape how AI shows up in it? This role keeps the core of the job the same – building, deploying, and troubleshooting SFMC campaigns at scale – while introducing Agentforce and AI-assisted development into the toolkit. You’ll continue to be the technical backbone of CRM Production, with growing exposure to AI agents, prompt-driven workflows, and the next generation of Marketing Cloud tooling.

Requirements

5+ years of hands-on experience in Salesforce Marketing Cloud development
Strong expertise across: Journey Builder & Automation Studio
AMPscript (required) and SSJS (preferred)
SQL for segmentation, validation, and troubleshooting
Deep understanding of SFMC data model: Data Extensions, Send Logs, Data Views, Contact Builder
Experience with API integrations and triggered sends
Proven experience working in production environments with high-volume campaigns
Strong focus on QA, accuracy, and error prevention (pre- and post-send validation)
Ability to troubleshoot complex issues across data, automation, and journey layers
Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders
Experience working in fast-paced, agile environments

Nice To Haves

Salesforce Marketing Cloud certifications
Experience with Salesforce Data Cloud / CDP
Experience with QA tools such as Litmus

Responsibilities

Design, develop, and deploy end-to-end CRM campaigns within Salesforce Marketing Cloud, including Journey Builder, Automation Studio, and Content Development
Build and maintain scalable solutions using AMPscript, SQL, and APIs, ensuring high performance and reliability
Own full lifecycle delivery: requirements review, build, QA, deployment, and post-launch monitoring
Implement complex journey logic, including entry criteria, suppressions, deduplication, and personalization
Develop and optimize data processes and automations, ensuring data accuracy and alignment with business requirements
Perform rigorous QA and validation, including data checks, content proofing, and journey testing
Troubleshoot production issues, perform root cause analysis (RCA), and implement preventative fixes
Review peer code and provide actionable feedback to improve quality and reduce defects
Partner with cross-functional teams (Marketing, Ops, Data, Solution) to deliver high-impact CRM campaigns
Mentor junior developers and contribute to team best practices and documentation
Identify opportunities to improve processes, tooling, and campaign performance
Own continued delivery of core CRM development – Journey Builder, Automation Studio, AMPscript/SSJS, SQL – ensuring agentic capabilities are layered on a stable, high-performing production foundation.
Partner with Marketing, Data, Legal/Privacy, and Solution teams to identify high-value agent use cases (welcome journeys, cart recovery, customer service handoffs) and translate them into shipped, measurable workflows.
Stay current with the fast-moving Agentforce/LLM landscape and proactively bring forward new capabilities, model updates, and patterns the team should adopt.
Comfortable using AI coding assistants (e.g., Claude Code, GitHub Copilot) as part of the daily development workflow, with sound judgment about when to trust, verify, or override AI-generated code.
Practical skill in prompt engineering – writing, testing, and iterating on prompts/instructions for LLM-driven features, with an understanding of grounding, context windows, and hallucination mitigation.