Senior Marketing Automation Prompt Engineer

About the Role

Key Responsibilities

• Design, test, and optimize prompt frameworks using LLMs (e.g., OpenAI, Claude, Gemini) to automate key advertising workflows.
• Automate campaign creation tasks such as keyword generation, ad copywriting, audience segmentation, and asset development.
• Leverage AI tools to generate performance summaries and reduce manual reporting overhead.
• Collaborate with marketers to identify key business drivers and generate AI-powered insights that inform campaign strategy.
• Build real-time or near-real-time optimization systems for budget allocation, creative testing, and channel mix.
• Experiment with advanced techniques like retrieval-augmented generation (RAG), embeddings, and multi-modal integrations (e.g., NLP + structured data).
• Ensure prompt outputs are safe, accurate, and aligned with Expedia's brand voice and advertising standards.
• Partner with engineers, analysts, and data scientists to integrate AI solutions into internal tools and dashboards.

Requirements

• 6-8 years of experience in a technical role, ideally in digital marketing, product management, software development, automation, or AI/ML applications.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Marketing Analytics, Machine Learning, or a related field, or equivalent work experience.
• Deep understanding of LLMs and prompt engineering techniques (e.g., few-shot prompting, chain-of-thought, structured output).
• Proven track record of using AI to drive marketing automation, campaign optimization, or customer insights.
• Proficient in Python, SQL, and working with APIs (especially OpenAI, Cohere, Anthropic).
• Comfortable working with large datasets and visualization tools (e.g., Power BI, Tableau).
• Strong cross-functional communication skills to work with marketing, product, and data teams.
• Familiar with performance marketing platforms (Google Ads, Meta) and key metrics (ROAS, CPA, CTR), as well as A/B testing and marketing experimentation frameworks.

Nice to Have

• Experience with retrieval-augmented generation (RAG), embeddings, and multi-modal data integrations.
• Knowledge of marketing platforms and key performance metrics.
• Experience in fast-paced, iterative environments focused on experimentation and continuous learning.

Qualifications

• Educational background in Computer Science, Data Science, Engineering, Marketing Analytics, or related fields.
• Experience leading feasibility and prioritization exercises for product roadmaps.

Benefits & Perks

• Full benefits package including medical/dental/vision insurance.
• Paid time off, parental leave, and Employee Assistance Program.
• Travel perks, wellness & travel reimbursement, travel discounts, and IATAN membership.
• Flexible work model and career development resources.