Member of Technical Staff

Getcatalog; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Getcatalog in San Francisco is seeking a Member of Technical Staff to build core systems and own product development end to end. The role involves working cross-stack and moving the mission from prototype to platform in a talent-dense team.

The ideal candidate has experience in product development, API design, and possesses a strong engineering culture. You will have the opportunity to tackle exciting challenges in AI and commerce, contributing to innovative solutions in a collaborative environment.

Qualifications

• Experience building products that users love.
• Strong blend of engineering skills and product taste.
• AI-native experience preferred.

Responsibilities

• Ship core systems from prototype to platform.
• Design agentic-search APIs for structured product data.
• Integrate checkout APIs for transactions with merchants.

Skills

Product development

API design

Data intuition

Engineering culture

Clean code practices

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.