A stealth startup is a startup company that operates in stealth mode, i.e. that avoids public attention. This may be done to hide information from competitors, or — as part of a marketing strategy — to manage public image. The phenomenon is well known in the venture capital (VC) community. Normally a company would only operate in stealth mode for the first couple of years. As investors may have to disclose funding a stealth startup, their names are made public, but often only a general summary description is known about the company. "Most entrepreneurs say they are in stealth because they are worried about competitors stealing their ideas. This can be a risk if you have such a simple idea that just by hearing it, someone can replicate it."

Job description

Location: San Francisco, CA (or Remote)

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