Member of Technical Staff - Data Engineer
San Francisco, CA
full_timeAbout This Job
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 Benefits Include
•
Unlimited PTO
•
Competitive Salary
•
Equity Options
•
Daily food stipend
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