The role
- COMP
- $170K - $250K
- EQUITY
- 0.3-1.5%
- LOCATION
- San Francisco
- WORKPLACE
- On-site
- EXPERIENCE
- 1 - 5 years
- VISA
- None, Visa transfers
- STACK
- Python, React, Terraform, AWS
- INDUSTRY
- AI, Marketing, Ad Tech
/roles — ROLE_50
Founding Engineer - Full Stack
Small marketing technology startup showing brands how chatbots and AI assistants perceive them, and helping shift those answers in their favor
The company
Marketing-tech startup helping companies get discovered and recommended by AI models as buying decisions shift to agents.
- STAGE
- seed-stage
- FUNDING
- seed funding
- TEAM
- founding team of <10
- FOUNDED
- 2024
- BACKING
- VC-backed
- NOTE
- Fortune-100 customers
JD — the work
About the role
Tiny, high-performing YC-backed team doing applied psychology on LLMs: help brands understand and influence how AI models perceive them — with Fortune-100 customers and revenue scaling fast.
What you'll do
- Build a universal context-management platform powering agentic workflows
- Apply black-box interpretability techniques to reverse-engineer how LLMs form brand opinions
- Own features end-to-end from customer need through research to shipped product
- Define engineering patterns around agentic coding tools
- Build internal automation and custom client software with full-context AI agents
What they're looking for
- 1-5 years of full-stack engineering
- Genuine curiosity about LLM behavior and interpretability
- Small-team ownership and speed