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Sage Labs is redefining product discovery with AIdriven search and personalization. We operate at the intersection of machine learning distributed systems and highperformance computing tackling some of commerces toughest engineering challenges.
We have a flat structure that prioritizes over hierarchy. As a Data Engineer youll design and build the core data infrastructure powering our platform ensuring seamless data flow at scale.
Architect and maintain ETL pipelines to ingest and process thirdparty data
Build realtime and batch pipelines that power AIdriven 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
Handson with Kafka Flink Beam or Spark
Proficient in BigQuery Snowflake or Redshift or other realtime toolkits
Strong SQL Python and distributed systems background
Familiarity with vector databases and AIpowered data pipelines
Why Join Us
This is a highimpact highownership role where youll own a lot
Work alongside AI experts and startup veterans
Rare opportunity to shape data systems in a 0to1 environment
Competitive compensation & equityWere in this for the long haul
If youre passionate about designing scalable data systems for AIdriven applications we want to hear from you
Apply now or reach out to
No recruiters or agencies please
Benefits include:
Unlimited PTO
Competitive Salary
Equity Options
Daily food stipend
Required Experience:
Staff IC
Full-Time