Manager – AI & Data Platform Engineering

What you'll do

• Lead and develop a globally distributed team of data and AI engineers, overseeing execution and performance.
• Own data and AI pipelines and platform services, delivering trusted AI-ready assets and reliable self-service capabilities.
• Set platform roadmaps and build reusable agentic operations for monitoring, triage, data quality, and remediation.

What they ask for

• 10+ years of experience in software engineering, data engineering, data platform engineering, or data architecture.
• 3+ years of experience leading engineering teams, including technical and people leadership.
• Strong hands-on expertise in Python and SQL, with a foundation in modern data engineering and distributed systems.
• Experience with Generative AI architectures, especially RAG and enterprise knowledge systems, and production data platforms on AWS or another major cloud using modern tools and dbt.

Nice to have

• Production experience with RAG or GraphRAG, knowledge graphs, graph and vector databases, embeddings, hybrid retrieval, or re-ranking.
• Experience with agent frameworks such as LangGraph, LangChain, or LlamaIndex, and cloud-native tools such as Kubernetes, Terraform, and Ray/Ray Data.

Pay

$164,000 — $205,000 USD (base salary)

Tools

Python, SQL, AWS, Snowflake, Databricks, BigQuery, dbt, Matillion

AI focus

Build AI-ready data and knowledge platforms, including RAG systems, knowledge graphs, AI/LLM data pipelines, production AI infrastructure, and agentic operations.