account executive
Boost your chances before you apply.
turbopuffer
US
Summary
You will manage inbound deals and work closely with solutions engineers to solve customer problems within Slack channels. Your role involves driving deals forward, managing POCs, and effectively explaining complex technical ideas to customers.
Job Description
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:
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AE who actually understands what they’re selling
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technical person ready to carry a quota
what you’ll do:
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live in customer slack channels, helping to solve problems, drive deals forward
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close inbound deals
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manage POCs and work closely with solutions engineers
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answer questions honestly, say no when it’s not a fit
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navigate and improve internal systems
must have:
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technical – you can read API docs without crying
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systematic – you track your pipeline and follow through
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human – you don’t lie to customers
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urgent – you move fast because our customers do
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independent – you get things done without being explicitly told
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typist - you can write well and can explain complex ideas simply
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scientist - be open to experimentation and learn from your failures
nice to have:
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you’ve sold to developers before and know why they hate salespeople
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experience with databases, search, or infra software
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experience with GTM automation tools like Clay, n8n etc.
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comfort with python/javascript, linux, or cloud platforms
values we live by:
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overstep > understep
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correctness > simplicity > performance
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customer traces > first principles > hunches
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show > tell
turbopuffer is a fast search engine that combines vector and full-text search using object storage, making all your data easily searchable.
Using only object storage for state and NVMe SSD with memory cache for compute, turbopuffer scales horizontally to handle billions of documents.
The system caches only actively searched data while keeping the rest in low-cost object storage, offering competitive pricing. Cold queries process 1 million vectors in 500ms (p90), while warm queries take just 20ms (p50). This architecture means it's as fast as in-memory search engines when cached, but far cheaper to run.
Storing data in cache and object storage costs less than traditional replicated disk systems, even for frequently accessed data.
Founded
2023
Company size
11-50 employees
Industry
Technology, Information and Internet
Org type
Privately Held
turbopuffer is a fast search engine that combines vector and full-text search using object storage, making all your data easily searchable.
Using only object storage for state and NVMe SSD with memory cache for compute, turbopuffer scales horizontally to handle billions of documents.
The system caches only actively searched data while keeping the rest in low-cost object storage, offering competitive pricing. Cold queries process 1 million vectors in 500ms (p90), while warm queries take just 20ms (p50). This architecture means it's as fast as in-memory search engines when cached, but far cheaper to run.
Storing data in cache and object storage costs less than traditional replicated disk systems, even for frequently accessed data.
Founded
2023
Company size
11-50 employees
Industry
Technology, Information and Internet
Org type
Privately Held