Founding Member of Technical Staff

TierZero • San Francisco, CA

1d • Hybrid

About The Position

As a founding team member, you’ll help invent and build the core product and systems from the ground up. You’ll work directly with the CEO, CTO, and most importantly, our customers. Things change regularly, and here are examples of the types of work you’ll be working on:
Design and implement agentic AI systems that reason about large sets of unstructured data
Ship full-stack features with direct user feedback
Contribute to the product experience so agents aren’t just smart, but usable and trusted by engineers
Build systems to automatically evaluate LLM outputs and improve agentic reasoning through self-play and feedback loops
Construct ML pipelines, including data ingestion, feature generation, embedding stores, RAG pipelines, vector search infra, and graph databases
Explore and prototype with open-source and frontier LLMs to evaluate tradeoffs
Build scalable infra to support long-running multi-step agents, including memory, state management, and async workflows
Participate in everything from company strategy to customer calls to office snacks

Requirements

• 5+ years of working experience or open-source experience
• Thrive in ambiguity
• Are product-minded and customer-first thinking
• Are interested in working with LLMs, MCPs, Cloud Infrastructures, and Observability tools

Nice To Haves

• Worked at a startup before and know what to expect

Responsibilities

• Design and implement agentic AI systems that reason about large sets of unstructured data
• Ship full-stack features with direct user feedback
• Contribute to the product experience so agents aren’t just smart, but usable and trusted by engineers
• Build systems to automatically evaluate LLM outputs and improve agentic reasoning through self-play and feedback loops
• Construct ML pipelines, including data ingestion, feature generation, embedding stores, RAG pipelines, vector search infra, and graph databases
• Explore and prototype with open-source and frontier LLMs to evaluate tradeoffs
• Build scalable infra to support long-running multi-step agents, including memory, state management, and async workflows
• Participate in everything from company strategy to customer calls to office snacks

Benefits

• Medical, Dental, Vision insurance
• 401(k)
• Lunch & Dinner in the office
• Snacks and drinks
• M5 macbook + iPad Air
• Cursor, Claude Code, Windsurf, and unlimited budget to test out new software and models

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed