Member of Technical Staff

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 [email protected]

No recruiters or agencies please