Marketing Forward Deployment Engineer

Responsibilities

• Collaborate closely with marketing teams across content creation, brand, vertical content, SEO, analytics, and publishing functions to identify opportunities for AI integration.
• Design, develop, and deploy AI-powered applications and intelligent agents tailored to marketing use cases.
• Enhance marketing workflows through automation and data-driven insights leveraging advanced AI tools and techniques.
• Partner with engineers, designers, and data scientists to accelerate adoption of AI technologies within the marketing organization.
• Build prototypes for customized AI solutions and test viability within marketing operations such as content and messaging generation, keyword optimization, predictive analytics, etc.
• Drive strategic discussions with marketing leadership about unlocking new possibilities using AI-driven marketing technologies.
• Stay current with emerging marketing technologies and software platforms, especially with regard to integrated AI tools and systems.

Qualifications

• Basic Qualifications:
• Marketing Expertise: Proven hands-on expertise in marketing workflows including content creation, campaign strategy, analytics, SEO, and publishing.
• In-depth understanding of the business and technical challenges faced by marketers.
• Technical Skills: Minimum of 7 years of software development experience, with a demonstrated ability to write, debug, and optimize complex code.
• Proficiency in developing AI-powered applications, intelligent agents, and workflows leveraging technologies such as natural language processing (NLP), machine learning (ML), automation frameworks, and big data platforms.
• Deep knowledge of marketing technology platforms such as CRM systems, campaign management tools, DMPs, analytics tools, content management systems (CMS), and SEO tools.
• Experience with API integrations, cloud platforms, and software architecture design.
• AI Proficiency: LLM Orchestration & Agent Architectures: Hands-on experience building and deploying autonomous agentic workflows and RAG (Retrieval-Augmented Generation) pipelines using modern orchestration frameworks (e.g., LangChain, LlamaIndex, LangGraph, or similar).
• API & LLM Integration: Strong proficiency consuming, securing, and optimizing enterprise LLM APIs (e.g., OpenAI, Anthropic, Gemini Enterprise, or similiar).
• Experience in setting up guardrails.
• AI-Driven Marketing Use Cases: Practical understanding of applying generative AI for automated content generation, semantic SEO/GEO optimization, predictive campaign insights, and campaign workflow automation.
• Preferred Qualifications:
• Working knowledge of the Gemini Enterprise Platform.
• Familiarity with large language models (LLMs) and their application to marketing problems.
• Experience leveraging AI to optimize marketing workflows and their orchestration.

Pay

The annual base pay for this position is: $179,500.00 - $269,300.00.