Senior AI Engineer, MarTech

Role Overview

We are looking for a Senior AI Engineer to lead the transformation of our marketing ecosystem. You won’t just be maintaining tools; you will be architecting the intelligence layer that powers hyper-personalization, autonomous campaign optimization, and generative creative pipelines. You will architect and lead buildout of infrastructure systems that do not merely execute pre-defined tasks but perceive context, reason through complex strategic problems, and orchestrate end-to-end workflows with minimal human intervention.

We are moving from "campaign management"—a manual, administrative task to "campaign orchestration," a strategic, supervisory role and invest in effective Human-Agent Teams.

Senior AI Engineer, Mar Tech

This is a position located in the US in either San Jose, CA or Frisco, TX. You will be required to be onsite on an as-needed basis. We are only considering candidates within a commutable distance to one of the two locations and are not offering relocation assistance at this time.

• Architect Agentic Workflows:
  Design and deploy AI agents to automate complex marketing tasks such as cross-channel campaign orchestration and real-time lead qualification.
• Generative Asset Pipelines:
  Build and maintain scalable pipelines for automated ad creative generation (text, image, and video) using LLMs and Multimodal models (Stable Diffusion, GPT-4o, Sora) while ensuring brand‑safe guardrails.
• Real-time Personalization:
  Implement RAG (Retrieval‑Augmented Generation) systems to provide context‑aware, personalized content across web, email, and SMS.
• Build Predictive Models:
  Develop and productionalize ML models for high‑impact marketing use cases: LTV (Lifetime Value) prediction, churn propensity, and "Next Best Action" engines.
• MLOps & Integration:
  Own the end‑to‑end lifecycle of models, from feature engineering in SQL/Python to deployment via APIs and monitoring for data drift in production.
• Privacy & Ethics:
  Ensure all AI implementations comply with global privacy standards (GDPR, CCPA) and implement "Privacy‑First" AI features like differential privacy or synthetic data generation.
• Governance:
  Implement robust Responsible AI frameworks to ensure that the speed of automation does not compromise the trust of the customer.

• Languages & Frameworks:
  Expert proficiency in Python. Deep experience with PyTorch or Tensor Flow, and LLM orchestration frameworks (Lang Chain, Llama Index).
• Mar Tech Ecosystem:
  Hands‑on experience integrating AI with CDPs (High Touch), ESPs (Braze, Iterable), or Ad Platforms (Meta Conversions API, Google Enhanced Conversions), Analytics (Adobe CJA), Customer focused websites (Java script, Adobe Experience Manager)
• Data Stack:
  Mastery of SQL and cloud data warehouses. Experience with Databricks for feature engineering is a huge plus.
• Generative AI:
  Proven experience with Claude fine‑tuning models (LoRA, QLoRA) and managing vector databases (Pinecone, Milvus, or Weaviate).
• Deployment:
  Experience with Docker, Kubernetes, and cloud AI services (AWS Sage Maker, Google Vertex AI, or Azure AI Studio).
• Domain Expertise:
  Previous experience in a high‑growth B2C marketing environment.
• Experimentation Mindset:
  Strong understanding of Bayesian A/B testing and causal inference to measure the true uplift of AI interventions.
• Strategic Thinking:
  Ability to translate vague marketing goals ("we want to increase engagement") into specific technical requirements and model objectives.
• Customer TouchPoints:
  Experience developing applications or integrations with Windows, MacOS, iOS, Android ecosystems.

• Data Foundation:
  Databricks, High Touch
• AI/ML Engine:
  Claude, PyTorch, Hugging Face, OpenAI API, Lang Graph
• Orchestration:
  Airflow, Prefect, or Git Hub Actions
• Marketing Execution:
  Braze
• Monitoring:
  Weights & Biases, Arize, or Grafana
• Analytics:
  Adobe CJA

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