Member of Technical Staff

Catalog

$120K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience building products from the ground up that are user-focused and reliable.
  • Strong technical engineering background combined with an eye for product detail and data-driven insights.
  • Familiarity with AI-driven technologies and methodologies.
  • Ability to write efficient, maintainable code and implement thorough instrumentation for metrics.
  • Desire for a high-impact role in a compact, highly skilled team in San Francisco.

Responsibilities

  • Design and develop APIs for agentic search systems to deliver real-time structured data.
  • Integrate transaction capabilities for seamless interaction between agents and merchants.
  • Establish a balanced embeddings and retrieval layer, optimizing for recall and precision while managing costs.
  • Build a product graph and ranking pipeline that adapts based on real-world analytics.

Benefits

  • Opportunity to work in a small, agile team with a high degree of trust.
  • Collaboration-focused work environment with a preference for in-person interactions.
  • Engagement in discussions and decision-making processes that drive product development.
Full Job Description
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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