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Tavily

AI web search and content extraction platform

채용 중

15채용 중인 포지션−44%지난주 대비

Tavily은(는) 채용 중인가요?

네. 2026년 10월 9일 기준으로 Metaintro에 Tavily의 공개 포지션이 15 개 있습니다. 최근 30일 동안 11 개가 게시되었습니다.

채용 중인 포지션

최신순. 공고에 급여가 기재된 경우 표시합니다.

채용 패턴

Tavily의 포지션 증가 속도와 근무 형태.

월별 신규 포지션해당 월에 처음 게시된 포지션

10
1
9월10월
10월: 신규 포지션 1개.

포지션별 근무 형태채용 중인 포지션 중 비율

18%
18%
27%
36%
하이브리드원격사무실 출근미기재
포지션의 36%가 하이브리드 또는 원격입니다.

고객

Tavily의 고객으로 언급된 회사 19곳 전체.

채용 중인 고객사8

고객 사례3

기타 고객사8

  • ERPM Data and AI Technology, BMO
  • Agent Platforms and Integrations, IBM
  • IBM Innovation Lab
  • Bellcyber
  • Troutman Pepper Locke
  • Ironclad
  • Monday
  • GROQ

고객의 목소리

Tavily 고객사 관계자들의 이야기.

“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
후기 10건 더 보기

“...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 출시 및 파트너

Tavily의 AI 출시 현황과 AI 협업 파트너.

  • 출시Real-time web access for AI agentsTavily provides an API that connects AI agents to the web for real-time web access.
  • 출시Production 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.
  • 출시Real-time search engine for AI agentsTavily provides a real-time search engine for AI agents through secure APIs for web search and content extraction.

요구하는 기술

채용 중인 공고에서 가장 자주 등장하는 기술.

가장 많이 요구되는 기술

  • Python
  • APIs

기술 스택

보안
OneTrust
CMS
Sanity
프레임워크
Next.js

회사 정보

본사 소재지
New York City, US
산업
AI web search and content extraction platform
업종(NAICS)
정보통신업
웹사이트
tavily.com
채용 페이지
tavily.com/careers/jobs
소셜
LinkedIn · GitHub · X

지역별 포지션

Tavily의 채용 지역입니다. 도시를 선택하면 해당 포지션을 볼 수 있습니다.

Tavily에 관한 질문

Tavily은(는) 채용 중인가요?
네. 2026년 10월 9일 기준으로 Metaintro에 Tavily의 공개 포지션이 15 개 있습니다. 최근 30일 동안 11 개가 게시되었습니다. 가장 많은 팀은 Developer (5), Product/Project Management (4) 및 Sales (3)입니다.
Tavily의 채용 지역은 어디인가요?
Tavily의 채용 지역은 New York, London, Tel Aviv, Austin, Amsterdam 및 Israel이며, 채용 중인 포지션이 가장 많은 곳은 New York입니다.
Tavily에서는 원격 또는 하이브리드 근무가 가능한가요?
채용 중인 포지션 중 18%는 하이브리드, 18%는 원격입니다.
Tavily의 고객은 누구인가요?
Tavily에서 고객으로 언급한 곳은 MongoDB, IBM, JetBrains, LangChain 및 AWS 등 19곳입니다.
Tavily에서는 어떤 기술을 찾나요?
채용 중인 포지션에서 가장 자주 요구하는 기술은 Python 및 APIs입니다.
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