Sr. Manager, Data Engineering

About the role

We're looking for a Senior Manager to lead a blended AI engineering team building the agentic AI platform and the marketing solutions that run on top of it. This is a delivery-leadership role: you own the roadmap, execution, and quality bar for a team of platform engineers, applied-AI solutions builders, and data engineering — turning cutting-edge agentic AI into reliable, production systems that marketing and analytics teams depend on every day.

What you'll do

• Own delivery and reliability of the agentic AI platform: LLM orchestration, retrieval/RAG pipelines, tool and MCP integration, model routing, and evaluation
• Drive engineering quality — test discipline, deployment safety, observability, cost and latency management — across everything the team ships
• Set technical direction with your senior engineers; make the hard architecture calls and unblock the team (design-level involvement
• Lead the team that builds AI agents and workflows for marketing use cases (analytics, paid media, content-to-intent, executive reporting) on top of the platform
• Ensure solutions are grounded in real business outcomes and adopted by stakeholders — not demos that stall

What you need

• 12–22 years in data science & ai
• Machine learning
• Python
• LLMs
• Performance marketing
• Wiring
• Prototyping
• Any graduate

Good to have

• Databricks
• Digital marketing