Member of Technical Staff
7 days ago
Sage Labs is redefining product discovery with AI-driven search and personalization. We operate at the intersection of machine learning, distributed systems, and high-performance computing, tackling some of commerce's toughest engineering challenges.
We have a flat structure that prioritizes execution over hierarchy. As a Data Engineer you'll design and build the core data infrastructure powering our platform, ensuring seamless data flow at scale.
Your ImpactArchitect and maintain ETL pipelines to ingest and process third-party data
Build real-time and batch pipelines that power AI-driven search, recommendations, and personalization
Optimize storage, retrieval, and performance for AI models
Enhance data lineage, observability, and governance
Partner with AI engineers and backend teams to optimize data flows
8+ years in data engineering, infrastructure, or backend systems
Scaled data systems from 0 to 1, including data catalogs and metadata management
Hands-on with Kafka, Flink, Beam, or Spark
Proficient in BigQuery, Snowflake, or Redshift or other real-time toolkits
Strong SQL, Python, and distributed systems background
Familiarity with vector databases and AI-powered data pipelines
Why Join Us?
This is a high-impact, high-ownership role where you'll own a lot
Work alongside AI experts and startup veterans
Rare opportunity to shape data systems in a 0-to-1 environment
Competitive compensation & equity—We're in this for the long haul
If you're passionate about designing scalable data systems for AI-driven applications, we want to hear from you
Apply now or reach out to
No recruiters or agencies please
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