Turbopuffer
vector and full-text search
Learn about turbopuffer, co-founded by Simon Hørup Eskildsen and Justine Li. We're building vector and full-text search on object storage.
Toboroz a(z) Turbopuffer?
Igen. 2026. október 8. állapot szerint a(z) Turbopuffer cégnek 4 nyitott pozíciója van a Metaintrón. Az elmúlt 30 napban 2 pozíciót hirdettek meg.
Nyitott pozíciók
A legújabbak elöl. A fizetést akkor mutatjuk, ha a hirdetés tartalmazza.
Toborzási trendek
Milyen gyorsan nyit új pozíciókat a(z) Turbopuffer, és milyen munkavégzési formában.
Új pozíciók havontaAz adott hónapban először meghirdetett pozíciók
Munkavégzési formákA nyitott pozíciók aránya
Ügyfelek
Mind a 10 cég, amelyet a(z) Turbopuffer ügyfélként nevez meg.
Mit mondanak az ügyfeleik
Idézetek a(z) Turbopuffer ügyfeleinél dolgozóktól.
“Fuel iX doesn’t exist without turbopuffer. If we used a traditional vector db provider, our bill would be in the millions each year.”
“With turbopuffer, there’s no scaling wall. It’s infinite.”
“The concern is never whether turbopuffer can handle it — it's whether we can build fast enough.”
“I will always pick a product with great reliability over a product with great features. turbopuffer has both.”
“turbopuffer scales effortlessly, even when we throw a hundred thousand data points at it at once. We've never had issues with downtime or rate limits; it just works.”
További 18 idézet mutatásaKevesebb mutatása
“Having our data in turbopuffer makes us feel ready for whatever comes next in AI-enabled software. It gives us the confidence to adapt quickly.”
“turbopuffer makes us more ambitious with our product roadmap. We can move faster, iterate, and test different ideas.”
“We went from generating insights in 3 minutes to less than 10 seconds, with much better recall.”
“turbopuffer is uniquely enabling us. In the past it wouldn't be worth spending the money to iteratively improve our feature or add a new data source. With turbopuffer it costs comparatively nothing.”
“turbopuffer is very well-loved at Pylon. I can't think of anybody who has worked with turbopuffer who has not had a really top tier experience.”
“We were running turbopuffer in production within two to three days of getting our API key.”
“We have a shared Slack channel with the turbopuffer team. Every message is replied within minutes. Every feature request is always answered. It feels like these guys work at Notion.”
“turbopuffer's economics have changed the way we think about building products that connect data to LLMs.”
“The biggest win for us with turbopuffer was flat p95 and p99. In general, tpuf has just been a lot more reliable than the Postgres solution.”
“We love working with turbopuffer. I've never felt sold to and I've always felt I know exactly what I'm buying. Which when you're buying critical infrastructure is absolutely crucial.”
“It's been fun to work with @turbopuffer on this. Admittedly, keyword-based search never really worked great for issues, and the results from embedding+FTS are now actually useful. We'll also use this new infrastructure to power more of Linear's AI functionality”
“Their responsiveness and shipping velocity make us feel like we are their only customer.”
“turbopuffer's hybrid and attribute filtering search primitives let us model agent memory far more effectively than with embeddings alone.”
“The biggest benefit of turbopuffer is the peace of mind that we won't fall over as we scale.”
“We still have very skewed namespace sizes, but even on the largest matters we just don't observe the tail latency spikes on turbopuffer.”
“turbopuffer was the only search database where we could get the combination of high security, high recall, and low latency.”
“Fundamentally, this is an architecture we love. It scales out easily, it isolates customer data by default, and performance is very predictable.”
“turbopuffer gives us the foundation to build profitable AI. We believe in the architecture and we believe in the team.”
MI-bevezetések és partnerek
Mit vezetett be a(z) Turbopuffer, és kikkel dolgozik együtt az MI terén.
- BevezetésVector and full-text searchturbopuffer provides vector search and full-text search capabilities for use cases including AI applications, semantic search, and recommendation systems.
- ToborzásAI & databases rolesturbopuffer invites people who want a front-row seat to the frontier in AI and databases to join the company.
Keresett készségek
A leggyakoribbak a nyitott hirdetésekben.
Technológiai stack
- Keretrendszerek
- Next.js
- Analitika
- Google Analytics 4
- Tárhely
- Amazon Web Services
- Könyvtárak
- Tailwind CSS
Cégadatok
- Iparág
- vector and full-text search
- Ágazat (NAICS)
- Információ és kommunikáció
- Weboldal
- turbopuffer.com
- Karrier
- turbopuffer.com/jobs
Pozíciók helyszín szerint
Hol toboroz a(z) Turbopuffer. Válassz egy várost a pozíciói megtekintéséhez.
Kérdések a(z) Turbopuffer cégről
- Toboroz a(z) Turbopuffer?
- Igen. 2026. október 8. állapot szerint a(z) Turbopuffer cégnek 4 nyitott pozíciója van a Metaintrón. Az elmúlt 30 napban 2 pozíciót hirdettek meg. A legtöbb ezekben a csapatokban van: Business Development (1), Developer (1) és Finance (1).
- Hol toboroz a(z) Turbopuffer?
- A(z) Turbopuffer a következő városokban toboroz: Canada, Jefferson Township és Vancouver. A legtöbb nyitott pozíció helyszíne: Canada.
- Kínál a(z) Turbopuffer táv- vagy hibrid munkát?
- A nyitott pozíciók közül hibrid: 0%, távmunka: 57%.
- Kik a(z) Turbopuffer ügyfelei?
- A(z) Turbopuffer 10 ügyfelet nevez meg, köztük: Atlassian, Legora, Notion, TELUS és Superhuman Mail.