Member of Technical Staff - Data Engineer
Sage AI Labs - San Francisco
Work at Sage AI Labs
Overview
- View job
Overview
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
- 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
- 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
Apply now or reach out to
No recruiters or agencies please
Benefits include:
- Unlimited PTO
- Competitive Salary
- Equity Options
- Daily food stipend