turbopuffer needs someone who can close deals with engineers. Our customers are technical teams already building in a fast market. Your job is help our customers win.
we’re open to two types of people:
AE who actually understands what they’re selling
technical person ready to carry a quota
what you’ll do:
live in customer slack channels, helping to solve problems, drive deals forward
close inbound deals
manage POCs and work closely with solutions engineers
answer questions honestly, say no when it’s not a fit
navigate and improve internal systems
must have:
technical – you can read API docs without crying
systematic – you track your pipeline and follow through
human – you don’t lie to customers
urgent – you move fast because our customers do
independent – you get things done without being explicitly told
typist - you can write well and can explain complex ideas simply
scientist - be open to experimentation and learn from your failures
nice to have:
you’ve sold to developers before and know why they hate salespeople
experience with databases, search, or infra software
experience with GTM automation tools like Clay, n8n etc.
comfort with python/javascript, linux, or cloud platforms
values we live by:
overstep > understep
correctness > simplicity > performance
customer traces > first principles > hunches
show > tell
Skills Required
- Ability to understand technical products and read API documentation
- Systematic pipeline tracking and follow-through
- Honest, customer-focused communication
- Urgency and ability to move quickly
- Independence and self-directed execution
- Strong writing and ability to explain complex ideas simply
- Openness to experimentation and learning from failures
- Experience selling to developers
- Experience with databases, search, or infrastructure software
- Experience with go-to-market automation tools such as Clay or n8n
- Comfort with Python, JavaScript, Linux, or cloud platforms
What We Do
turbopuffer is a serverless search engine that combines vector and full-text search using object storage. It is designed to make large amounts of data searchable for AI applications, offering high scalability, performance, and cost-efficiency by separating compute and storage. It serves as a critical infrastructure layer for companies needing to retrieve context for AI models, handling billions of documents with low latency.
