Full-Time
Outbound Growth
turbopuffer
11-50 employees
Serverless vector and text search database
No salary listed
Canada + 1 more
More locations: United States
In Person
 Sales & Account Management |
|---|
Get referred to turbopuffer
Find people who can refer or advise you
- builder - you can build your own tooling, automate your own workflows.
- typist – you write cold emails that don't sound like cold emails
- technical – you can skim a company's GitHub or docs and understand what they're building
- systematic – you build repeatable processes and actually follow them
- human – you know the difference between persistence and spam
- urgent – you move fast and don't let leads go cold
- independent – you figure things out without waiting to be told
- find engineers and teams who are building with vectors or hitting limits with their current search
- write outreach that developers actually want to read
- qualify inbound leads and route them to the right people
- research accounts deeply before reaching out—understand their stack
- book meetings that don't waste anyone's time
- track what's working and kill what isn't
- live in communities where our customers hang out
- design, execute, and analyze new outbound experiments to expand funnel
- you've sold to developers before and know why they ignore most outreach
- familiarity with databases, search, or infrastructure software
- experience with prospecting tools like Clay, Apollo, or similar
- comfort reading API docs or technical blog posts
- you've built something yourself
Turbopuffer provides a serverless vector and full-text search database for AI applications. Its tiered storage combines cheap object storage as the main data store with an NVMe cache and memory, automatically moving data between tiers so hot data stays fast while cold data stays inexpensive, delivering warm query latency under 10ms. The approach cuts costs versus in-memory vector databases—some users report up to 95% savings—by targeting workloads with power-law access patterns. The company aims to make AI infrastructure affordable and scalable through serverless search and vector capabilities that optimize storage and access automatically.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Ottawa, Canada
Founded
2023
Get referred to turbopuffer
Find people who can refer or advise you
Simplify's Take
What believers are saying
- 90% cost reduction for clients compared to in-memory vector databases, targeting AI workloads with power-law access.
- $100M annual run-rate achieved by March 2026, with 10x sales growth and 5x headcount increase in 2025.
- Manages 4 trillion documents with 10M+ writes/s and 25k+ queries/s, proving massive scalability for AI applications.
What critics are saying
- pgvector dominance in cost-sensitive RAG under 10M vectors erodes entry-market share within 6–12 months, high impact.
- Qdrant's superior hybrid search and 15–40ms latency outperforms Turbopuffer's cold queries, alienating real-time RAG users.
- Turbopuffer's 300–800ms cold-query latency blocks real-time AI agent applications, enabling competitors to win production contracts.
What makes turbopuffer unique
- Serverless architecture using object storage as primary data store with NVMe and RAM caching layers.
- Commercial-only model without free tier, targeting high-quality support and rapid development in open-source market.
- Write-ahead log on object storage keeps nodes stateless, enabling cost-effective scaling and strong consistency.
Help us improve and share your feedback! Did you find this helpful?