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customer engineer

Updated

Pay not postedUSRemote

Customer Engineer role focused on hands-on support for Turbopuffer's AI infrastructure customers, debugging issues, optimizing queries, and owning outcomes via Slack and docs.

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View posting at Turbopuffer

At a glance

Posted base pay

Not posted

The work

Integrates and configures it

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Prototypes and scripts
Builds for
External customers
Level
Senior
Role
Individual contributor

What they ask for

Tools

  • linux
  • python
  • javascript
  • typescript
  • k8s
  • vector search
  • full-text search
  • slack

Less common in FDE jobs

  • Coding work: Prototypes and scripts5%
  • Company size: About 1–50 people13%
  • Company stage: Early17%
  • Fully remote28%

Share of US FDE postings that state each fact.

The job description from Turbopuffer

Posted by Turbopuffer on

turbopuffer is looking for someone to help our customers succeed.

what you'll do

  • debug customer issues, optimize queries
  • write examples for our docs
  • live in customer slack channels, helping to solve problems
  • 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

View posting at Turbopuffer

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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Pay and conditions

Posted pay
Pay not posted
Location
US
Work arrangement
Remote
Remote work restrictions
US / Canada
Employment type
Full-time