Manager – AI & Data Platform Engineering

Required

• You are comfortable diving deep into architectural discussions, removing roadblocks for team members, and evaluating effort estimates effectively, all while empowering your senior and principal engineers to lead system design.
• You possess a comprehensive understanding of the complete engineering lifecycle from enterprise data ingestion and transformation to knowledge retrieval, context engineering, and production agent deployment.
• You are equally adept at driving architectural strategy and engaging in technical implementation details, making pragmatic decisions to eliminate technical debt.
• You are an inspiring people leader committed to hiring, mentoring, and advancing engineering team members while cultivating a culture of ownership and engineering excellence.
• Versatile across data platforms, knowledge engineering and agentic operations, you’re equally at home in any of the three. You lead a globally distributed team with an owner’s mindset and a bias for action, and you thrive in a fast-moving AI landscape.
• Practical understanding of Generative AI architectures, particularly RAG and enterprise knowledge systems, with experience designing pipelines for structured and unstructured data
• 10+ years of experience in software engineering, data engineering, data platform engineering, or data architecture
• 3+ years of experience leading engineering teams with demonstrated technical and people leadership
• Strong hands-on expertise in Python and SQL, with a solid foundation in modern data engineering and distributed systems
• Experience designing and operating production-grade data platforms on AWS (or another major cloud platform) using modern tools such as Snowflake, Databricks, or BigQuery, along with dbt
• Strong grounding in data quality, metadata, lineage, governance, and observability, with a proven ability to translate ambiguous problems into scalable engineering solutions
• What Will Make You Stand Out (Preferred Qualifications)