Member of Technical Staff - Data Engineer
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Job Description
Member of Technical Staff - Data Engineer
Location: San Francisco, CA
Role Type: Full-time, Individual Contributor
About Us
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 Impact
Architect 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
Who You Are
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 build@sagelabs.ai
No recruiters or agencies please
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