Member of Technical Staff at Catalog
Catalog is hiring a Member of Technical Staff in San Francisco, CA, US. On-site.
About Catalog
Catalog provides a product data platform for AI commerce. It connects to a merchant's Shopify store, ingests product catalogs along with reviews and signals from sites like Reddit, Pinterest, and Google, then structures and enriches the data into machine-readable formats. This structured product data is distributed to AI assistants such as ChatGPT, Gemini, Claude, and Perplexity, enabling those AI systems to recommend the merchant's products in response to shopper queries. The service is aimed at online retailers and brands that want their products to be accurately represented in AI-powered shopping experiences.
Member of Technical Staff job description
Catalog is building the commerce layer for AI - the missing infrastructure that lets agents not just search the web, but understand, reason about, and transact with products. We power the next generation of AI experiences that will reshape how people discover and buy online.
Role
As a Member of Technical Staff, you will ship core systems, set engineering culture, and move the mission from prototype to platform. You will work across the stack and own problems end to end.
You might be a fit if you
Have built zero to one products that users love and trust.
Blend strong engineering with sharp product taste and data intuition.
AI-native.
Move fast, write clean code, and instrument everything.
Want high ownership in a small, talent-dense team in San Francisco.
Example problems
Design and ship agentic-search APIs that return structured, live product data in milliseconds.
Integrate checkout rails so agents can transact with any merchant.
Stand up an embeddings and retrieval layer that balances recall, precision, and cost.
Launch a product graph and ranking pipeline that learns from real outcomes.
Nice to have
Shipped data products in production.
Experience with recommendation systems or information retrieval.
Familiarity with developing APIs, search indexes, and data pipelines.
How we work
Small team, high trust, high intensity. We bias to in-person collaboration in North Beach, San Francisco. We debate, decide, and ship.
If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.
