Teams at Faire

Build and own backend services, data pipelines, infrastructure, and experimentation systems that deliver machine-learning-generated product listing enhancements at catalog scale. The role involves productionizing data science outputs, monitoring quality and freshness, managing LLM and computer vision tradeoffs, launching experiments, and mentoring engineers while balancing product impact, reliability, cost, and maintainability.

Leads Faire’s Analytics Platform team, managing eight engineers and setting technical strategy for data warehousing, ETL/ELT pipelines, foundational datasets, BI tooling, governance, reliability, and cost efficiency. The role requires hands-on technical leadership, production issue management, AI-powered analytics tooling, cross-functional partnership, vendor management, and talent development. The manager will build scalable, trustworthy data systems used across engineering, data science, finance, product, and analytics.

Own the technical direction, development, reliability, and migration of Faire’s data infrastructure. Build CDC and streaming ingestion pipelines from production databases through Kafka into Iceberg on S3, operate Airflow and Fivetran, and implement data contracts, quality checks, SLAs, and observability. Lead cross-team initiatives, mentor engineers, manage incidents and on-call responsibilities, and partner with data scientists, analysts, and engineering teams to deliver dependable analytical data platforms.