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Tavily

AI web search and content extraction platform

Tavilyは採用中ですか?

はい。2026年10月10日時点で、Metaintro にはTavilyの募集中のポジションが15 件あります。 過去30日間に11 件が掲載されました。

募集中のポジション

新しい順。求人に記載がある場合は給与を表示します。

採用パターン

Tavily が募集をどれだけのペースで増やしているか、そして勤務形態の内訳。

月別の新規募集その月に初めて掲載された求人

10
1
9月10月
10月:新規 1 件。

募集の勤務形態募集中ポジションに占める割合

18%
18%
27%
36%
ハイブリッドリモート出社記載なし
募集の 36% がハイブリッドまたはリモートです。

顧客

Tavily が顧客として挙げている 19 社すべて。

採用中の顧客7

導入事例3

その他の顧客9

顧客の声

Tavily の顧客企業の担当者による声。

“Before web search, the model would hallucinate library methods it didn't know. I ran into this myself building a Telegram integration; it was confidently wrong. Grounding it with real-time web search fixed that immediately.”

Nick Frolov · Head of Product · JetBrains

“The results were concise, not information overload — but also all relevant. The information was prioritized, concise, and better than a top-level Google search. I was able to get exactly what I wanted.”

Sunny Manivannan · Founder & CEO · Peerbound

“If you want your agents to have fast, cost effective and accurate web research at scale, go with Tavily.”

Shriram Sridharan · Co-founder & CTO · Rox

“An AI agent is only as good as the information it's fed. And I believe Tavily is the tool that gives you that information, which is reliable, contextual, and traceable.”

Jawed Ahmad · Chief Technology and AI Officer · Bell Cyber

“We use Tavily as our data retrieval utility that enables the uniformity of retrieval results across different investigator actions at BMO.”

Ashutosh Sinha · Managing Director · ERPM Data and AI Technology, BMO
さらに 10 件の声を表示

“...we were able to customize our agent built on CUGA with the help of Tavily. CUGA was our orchestrator, and of course it has an LLM built in it, but Tavily was our tool.”

Anupama Murthi · Technical Lead + Senior Software Engineer · IBM

“Using Tavily as a data retrieval utility enabled the uniformity of retrieval results across different investigator actions at BMO.”

Ashutosh Sinha · Managing Director · ERPM Data and AI Technology, BMO

“With Tavily, our agents can confidently rely on a web search provider that’s fast, cost effective and provides accurate data at scale.”

Shriram Sridharan · Co-founder & CTO · Rox

“I haven’t seen this in any other providers that we've worked with... The team is just phenomenal to work with, and in this age of things that are fast moving, we just want to partner with somebody who is also at the same pace, right from the CEO to everybody on the team.”

Shriram Sridharan · Co-founder & CTO · Rox

“Sales is inherently a game which is constantly moving. Sales reps are actually looked at by how fast they can respond to the information that is happening on the internet and how quickly they reach out. Both freshness and speed are extremely important from a rep's perspective.”

Shriram Sridharan · Co-founder & CTO · Rox

“The IBM Software Innovation Lab team was impressed with Tavily because it removed the scraping layer: Playwright, the DOM, and the job of working out which part of a page was the relevant content.”

IBM

“We advertise CUGA as the best option out there for customers who want their agents to run in air-gapped and sovereign environments. If it’s the enterprise picture, policy and guardrails would be the biggest differentiating factor.”

Hamid Adebayo · Senior Research Scientist and Manager · Agent Platforms and Integrations, IBM

“We used Tavily as one of our search tools, and we were able to customize our agent built on CUGA with the help of Tavily. CUGA was our orchestrator, and of course it has an LLM built in it, but Tavily was our tool.”

Anupama Murthi · Senior Software Engineer · IBM Innovation Lab

“In our initial version without Tavily, you basically end up scraping the page. You use Playwright, work out what is in the DOM, then take the content and stick it into your application.”

Anupama Murthi · Senior Software Engineer · IBM Innovation Lab

“The AI agent is only as good as the information that it has. And I believe Tavily is that tool that gives you that information, which is reliable, contextual, and traceable.”

Jawed Ahmad · Chief Technology and AI Officer · Bell Cyber

AI のローンチと提携

Tavily が AI 分野でローンチしたものと協業先。

  • ローンチReal-time search engine for AI agentsTavily provides a real-time search engine for AI agents through APIs for web search and content extraction.
  • ローンチProduction web retrieval for insurance AI agentsTavily gives insurance AI agents live access to regulatory information, adverse media, and public records for underwriting, KYC, and risk workflows.
  • ローンチReal-time search engine for AI agentsTavily provides a real-time search engine for AI agents through secure APIs for web search and content extraction.
  • ローンチLLM provider integrationTavily offers drop-in integration with OpenAI, Anthropic, and Groq.

求められるスキル

募集中の求人で最も多く見られるもの。

最も求められるスキル

  • Python
  • APIs

技術スタック

セキュリティ
OneTrust
フレームワーク
Next.js
CMS
Sanity

企業情報

本社所在地
New York City, US
業界
AI web search and content extraction platform
業種(NAICS)
情報通信業
ウェブサイト
tavily.com
SNS
LinkedIn · GitHub · X

勤務地別の募集

Tavily の採用拠点。都市を選ぶとその募集が表示されます。

Tavily に関する質問

Tavilyは採用中ですか?
はい。2026年10月10日時点で、Metaintro にはTavilyの募集中のポジションが15 件あります。 過去30日間に11 件が掲載されました。 最も多いのは Developer(5)、Product/Project Management(4)、Sales(3) です。
Tavily はどこで採用していますか?
Tavily は New York、London、Tel Aviv、Austin、Amsterdam、Israel で採用しており、募集中のポジションが最も多いのは New York です。
Tavily はリモートやハイブリッド勤務に対応していますか?
募集中のポジションのうち 18% がハイブリッド、18% がリモートです。
Tavily の顧客にはどのような企業がありますか?
Tavily は MongoDB、IBM、JetBrains、LangChain、AWS など 19 社を顧客として挙げています。
Tavily はどのようなスキルを求めていますか?
募集中のポジションで最も多く求められているのは Python、APIs です。
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