CRM Content Automation Manager

About the Role

We’re seeking a CRM Content Automation Manager who lives and breathes AI engineering and marketing personalization.

This role focuses on building and scaling automated content generation systems that supercharge CRM campaigns through machine learning models, natural language processing, and LLM-driven frameworks.

You’ll design and implement the pipelines, models, and integrations that automate personalized content across millions of customers — making every message smart, contextual, and conversion-focused.

---

Key Responsibilities

• Define and execute the AI content automation roadmap.

• Lead the development and fine-tuning of in-house LLMs tailored for CRM content generation, personalization, and localization (training, evaluation, optimization).

• Build and maintain scalable LLM and ML pipelines for automated personalization across email, push, and in-app channels.

• Design prompt engineering frameworks and RAG (Retrieval-Augmented Generation) systems leveraging vector databases to contextualize and scale content generation.

• Integrate generative AI systems with existing CRM and martech tools.

• Implement governance systems to ensure content quality, brand consistency, and compliance.

• Use A/B and multivariate testing data to train reinforcement or recommendation models that optimize message variants automatically.

• Collaborate with marketing, data, and engineering teams to align AI outputs with brand and performance goals.

• Stay ahead of advancements in generative AI, LLM fine-tuning, and marketing automation to continuously evolve Medier’s personalization engine.

---

Experience / Requirements

• Proven use of AI in content workflows (prompting, drafting, repurposing, QA).

• Solid understanding of machine learning, NLP, and recommendation algorithms.

• Proven experience building or fine-tuning large language models (LLMs).

• Deep experience in prompt engineering and RAG pipeline design leveraging vector databases (e.g., Pinecone, FAISS, Chroma).

• Familiarity with LangChain, Hugging Face, or equivalent frameworks for building and deploying custom LLM pipelines.

• Strong Python skills and familiarity with PyTorch, TensorFlow, or similar ML frameworks.

• Experience integrating AI systems into CRM, marketing, or personalization platforms.

• Background in Marketing Technology or AI-driven growth experimentation is a strong plus.

• Excellent communication skills and ability to bridge creative, marketing, and technical teams.

---

We’re Looking For

• AI Product Managers or ML Leads with marketing tech experience.

• Data Scientists / ML Engineers with NLP or generative AI backgrounds.

• Technical Content or Personalization Leads who’ve built and scaled AI-driven content systems.