GlossGeniusSan Francisco, CADesigns and implements scalable data models, pipelines, and lakehouse infrastructure using Snowflake and Clickhouse to support analytics, ML, and products. Requires 5+ years data engineering experience, SQL/Python expertise, and leadership in data governance.
Starting base salary in California: $200,000 - $236,000 + target equity + benefits.
Architect and build foundational data infrastructure for massive simulation outputs. Design novel data models and high-throughput pipelines to feed LLMs with structured context from complex, state-based environments.
Builds and optimizes scalable data pipelines, storage, and OLAP databases for ML training, analytics, and product features. Requires 5+ years in data engineering, proficiency in Python/SQL/cloud platforms, and distributed systems experience.
Builds and operates scalable data infrastructure including compute fleets, storage systems, and streaming platforms to support OpenAI's AI products, research, and analytics. Requires 4+ years in data or infrastructure engineering with expertise in Spark, Kafka, and distributed systems.
Own data and analytics end-to-end: architect internal systems, build metrics/dashboards, and translate customer and product signals into structured inputs for AI agents.
As a Data Engineering Manager, you will lead the Data & ML Platform team, owning platforms for analytics, experimentation, and machine learning. You will guide the evolution towards a streaming-first, ML-ready architecture and partner with Data Science to operationalize models.