Tavily
AI web search and content extraction platform
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.
- Technology Commercial Legal Counsel법률 산업New York · $206.4K – $258K/yrNew York—$206.4K – $258K/yr9일 전
- Forward Deployed Engineer, Enterprise개발자London · 원격London원격—16일 전
- Senior Product Manager, Search Infrastructure제품/프로젝트 관리Amsterdam +2Amsterdam +2——2026년 9월 8일
- Senior Product Manager, Vertical Search제품/프로젝트 관리Amsterdam +2Amsterdam +2——2026년 9월 8일
- Technology Commercial Legal Counsel법률 산업Austin · $206.4K – $258K/yrAustin—$206.4K – $258K/yr2026년 9월 3일
- Forward Deployed Engineer, Ecosystem개발자New York · $112.7K – $183.9K/yrNew York—$112.7K – $183.9K/yr2026년 7월 23일
- Forward Deployed Engineer, Enterprise개발자New York · $179.5K – $224.3K/yrNew York—$179.5K – $224.3K/yr2026년 7월 23일
- Senior Software Engineer (Agentic Search) - Billing개발자New York · 하이브리드 · $147.2K – $224.3K/yrNew York하이브리드$147.2K – $224.3K/yr2026년 7월 6일
채용 패턴
Tavily의 포지션 증가 속도와 근무 형태.
월별 신규 포지션해당 월에 처음 게시된 포지션
포지션별 근무 형태채용 중인 포지션 중 비율
고객
Tavily의 고객으로 언급된 회사 19곳 전체.
채용 중인 고객사8
기타 고객사8
- EERPM Data and AI Technology, BMO
- AAgent Platforms and Integrations, IBM
- IIBM Innovation Lab
- BBellcyber
- TTroutman Pepper Locke
- IIronclad
- MMonday
- 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.”
“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.”
“If you want your agents to have fast, cost effective and accurate web research at scale, go with Tavily.”
“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.”
“We use Tavily as our data retrieval utility that enables the uniformity of retrieval results across different investigator actions at BMO.”
후기 10건 더 보기간단히 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.”
“Using Tavily as a data retrieval utility enabled the uniformity of retrieval results across different investigator actions at BMO.”
“With Tavily, our agents can confidently rely on a web search provider that’s fast, cost effective and provides accurate data at scale.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
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
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.



