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Member of Technical Staff

Catalog · On-site

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MeritLog keeps this source-backed description for reference. Availability is not verified, and there is no application link here.

Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

Source: the employer's Ashby job board. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model
On-site
Salary
Not listed by source
Location
San Francisco

What the role asks for

What they're asking for

  • Shipped data products in production.SkillPreferred
  • Experience with recommendation systems or information retrieval.SkillPreferred
  • Familiarity with developing APIs, search indexes, and data pipelines.SkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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.

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