Pay not posted
customer engineer
Posted by Turbopuffer · open on Ashby as of
Pay not postedUSRemoteFull-time
A customer-facing engineer who owns technical issues from first report through resolution, debugging customer systems and optimizing queries.
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At a glance
Posted base pay
Not posted
Median $190K
Senior FDE postings1,864 postings · middle 50% of posted pay$160K–$220KThe work
Integrates and configures it
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept (not covered)
- Implementation (not covered)
- Operations
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Senior
- Role
- Individual contributor
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More like this
$224,000–$356,500
$180,000–$202,000
The job description from Turbopuffer
Posted by Turbopuffer on
turbopuffer is looking for an engineer to help our customers succeed. While every day is different; (from digging into unfamiliar systems and debugging, to writing code when that's what it takes), you'll see each issue through to its end.
what you'll do
- debug customer issues, optimize queries
- write examples for our docs
- write code to solve customer problems, ship PRs, and build automations
- live in customer slack channels, helping to solve problems from first report to resolution
- own customer outcomes
must have
- typist - you can write well and can explain complex ideas simply
- linux - you're comfortable in terminals and reading logs
- python or javascript/typescript - for reproducing issues and building solutions
- human - you build trust and keep things productive when everything's on fire
- systematic - you methodically work through problems until you've found the root cause
nice to have
- k8s experience
- vector search or full-text search background
- experience with the major cloud platforms
tpuf is hardcore & whimsical. we value
- overstep > understep
- show > tell
- complexity is earned
- showing up as part of our customer’s team
- making stuff easy to react to
About Turbopuffer
Serverless vector and full-text search engine for AI products, built on object storage to deliver cheaper, highly scalable retrieval with strong multi-tenant isolation.
Seed · 10–50 people
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