Atlan
Enterprise data governance
Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve.
Atlanは採用中ですか?
はい。2026年10月8日時点で、Metaintro にはAtlanの募集中のポジションが8 件あります。 過去30日間に2 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。
- Principal Software Engineer - Agent & App Platform開発者リモート—リモート—7日前
- Enterprise Account Executive営業San Francisco · リモート · $330K – $360K/yrSan Franciscoリモート$330K – $360K/yr2026年9月7日
- Enterprise Account Executive営業California · リモート · $330K – $360K/yrCaliforniaリモート$330K – $360K/yr2026年9月7日
- Business Development Representative / Sales Development Representative事業開発リモート—リモート—2026年8月19日
- Senior Security Engineerセキュリティリモート—リモート—2026年7月24日
- Business Development Representative事業開発リモート—リモート—2026年6月4日
- Business Administrationテクノロジー全般———2026年3月31日
- Data Governance Program Manager with Capital Markets, Atlanプロダクト/プロジェクト管理New York +1 · ハイブリッドNew York +1ハイブリッド—2026年1月26日
採用パターン
Atlan 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
募集の勤務形態募集中ポジションに占める割合
顧客
Atlan が顧客として挙げている 28 社すべて。
採用中の顧客14
導入事例10
- PPorto
- DDr. Martens
- Nasdaq
- Postman

- AAutodesk
- FFox
- DDelhivery
- BBrainly
- Austin Capital Bank

- AAdvocates for Human Potential (AHP)
その他の顧客4
- NNew York Life
- NNHS
- Unilever
- VVirgin Media O2
顧客の声
Atlan の顧客企業の担当者による声。
“I think we’ve finally found the right platform to make our data self-service, discoverable and clear for our data-driven teams.”
“Atlan not only had all the dream features we were looking for, but the user interface and experience were extremely intuitive. Built around a Google-style search, Atlan was designed to be user-friendly for technical and non-technical users alike. Its collaboration-first approach — e.g. the ability to share data assets as links, or its integrations with Slack — was also very promising. When we gave Atlan to team members, they were able to get onboarded and start driving things very quickly.”
“Atlan can tell publishers the usage of the tables or data products that they build. Of course, it helps consumers find data and understand more about the data that’s trustworthy. And for the platform team, we can have visibility into all of this, we can understand now, what actually is being used in the platform, what’s popular, what’s not. All things that weren’t possible before.”
“We needed something that could help bridge the gap between publishers and consumers, so we adopted a data catalog. Atlan is the layer that brings a lot of the metadata that publishers provide to the consumers, and it’s where consumers can discover and use the data they need ,”
““We see more and more people defaulting to the data catalog instead of going through a lengthy process of going back-and-forth (with questions),” Kasia explained.”
さらに 21 件の声を表示表示を減らす
““Obviously, we have users consuming all of this. We have all of our assets in Atlan; everything integrated into Atlan. Basically, Atlan is the place where all data sharing happens,” Kasia explained.”
““We’ve onboarded into Atlan all of our data sets from both our legacy platform and our new data platform” Kasia explained. “And for migration purposes, we’re using Atlan to identify these sources of the products that are to be migrated to the new data platform, as well as to figure out the downstream objects affected by decommissioning in the legacy platform.””
““We figured out that we needed a data catalog to support us with the cultural piece of Data Mesh. We went through several proofs of concept, and through those, we chose Atlan as our data catalog .””
“We used Insights to support our client service team, and Atlan made it so much easier and saved a bunch of time for me and my team. It was an easy and effective workaround, until our CRM was ready to handle the new product. So it really gave us peace of mind. It was something that took my team only a couple of hours to put together. We could not have done that without Atlan.”
“That was a really powerful piece of what Atlan offered for us, and I’ve been very happy with how that’s progressed,”
“Atlan became a necessity. That’s how we control access in an easily repeatable fashion,” Ian explained. “And then the fact that we have data lineage on top of it, and the ability to organize all of our information and classifications, and add glossary terms linked to that data? That’s all icing on the cake for us.”
“This is the first and only cataloging tool I’ve used. We got some demos from other companies, but the Atlan team innovates really quickly, and was responsive for any issues or requests we had early on; issues that have mostly gone away at this point, a year later. My advice would be to look for something that’s not only usable by your technical teams, but simple to understand and navigate for all the people who are going to be your consumers. If it’s not, they’re not going to touch it.”
“You have to have one place where everything is put together and documented. Atlan provides all the tools I need to do good governance on the assets I have,” their leader shared. “We want to enable quality, data-driven decisions, and make the right decisions with the right insights. We can’t do that without proper governance.”
“For people that want to do a little bit of analysis on their own, my goal is to send them to Atlan,” he explained. “There, they’ll have all the context they need and some saved queries they can get started with. They can make better sense of it.”
“A lot of times, people just want reports, but there are also a lot of brilliant technical people that want to dive more deeply into data, and we’re able to provide something to all of them,” their leader shared. “Having a documentation tool means we’re aligning better, and aligning better helps us make faster decisions.”
“What stood out to me about Atlan is that our stakeholders could log in and query information directly. Instead of my team providing direct access to all these data stores in Snowflake, I could provide access to Atlan, and they could find what they needed. It’s a one-stop-shop model for governance and discovery, and that’s what I was looking for. I didn’t want more than one tool.”
“That level of support was excellent, and I could tell, “Oh. That one’s a new company. You guys are interested in building strong relationships,” whereas folks with some of the older platforms are just hanging out, trying to figure out how to charge more money.”
“For me, Atlan stands out for its user experience.”
“With the evolution of the data platform, we’ve matured and we’re ready for the future. Are we 100% there? You never are, but we want Atlan to continue to evolve in the right direction to support us in that journey so that day, we can be world-class.”
“What’s important is this allows people to focus on the right things. Developers are focusing on delivering value with data, rather than having to troubleshoot and spend time digging through code finding where pipelines broke,” Nestor shared. “When data is properly documented and data products are easy to find, our business partners can answer questions without jumping through hoops trying to find the right owner, then waiting for busy people to respond. In terms of time savings, this is significant.”
“We’ve gotten a lot better at testing and managing issues. Atlan has been a big help, and we’re able to catch all these potential issues before they even occur,” Nestor explained.”
“When I first showed Atlan to this person, his first reaction was ‘When can I get it? I need this ASAP.’ Having lineage and column-level documentation meant the need for these spreadsheets just went away. He doesn’t need to update them, and he definitely doesn’t rely on them, so it’s a huge time-saver.”
“Atlan has been a great help. We no longer have to rely on these documents, and we’re able to do impact assessments at the click of a button,” Nestor shared.”
“We have to acknowledge that terms and definitions are not always going to be the same at the global and regional level. What Atlan has provided is a single glossary to maintain definitions, whether global or local, visibility into where discrepancies exist between definitions, and visibility into what the regions are doing just by looking at the data products they have. It’s allowed for sharing of ideas and projects.”
“I think of Atlan as a bridge. Our data catalog is our data marketplace, so if there’s any question you have about data in Snowflake, go to Atlan. It’s the same with dbt, where people get to understand the process of how data goes from source to the data product they’re consuming,” Nestor shared. “Without Atlan, it would be complicated and time-consuming to be answering questions and explaining all of this.”
“Our objective was to improve Aliaxis’ maturity around Data Governance, and we wanted to ensure that whatever tool we picked not only fit nicely with our tech stack, but that users didn’t feel intimidated, or felt that it was a huge organizational shift. Atlan’s user-friendliness seemed so simple, and when we presented it to our users they said, ‘This doesn’t look too complicated.’ And for our team, we knew the capabilities of the tool gave us room to grow and mature as an organization without too many restrictions.”
AI のローンチと提携
Atlan が AI 分野でローンチしたものと協業先。
- ローンチAtlan AIAtlan unveiled Atlan AI as the first-ever copilot for data users, helping them discover, understand, and use data faster.
- ローンチEnterprise context layerAtlan gives every AI agent the enterprise context it needs, including business definitions, lineage, and access policies.
- ローンチContext Engineering StudioContext Engineering Studio lets AI teams engineer context that is versioned, tested, and deployable across every agent simultaneously.
- ローンチContext LakehouseAtlan's context lakehouse is the primary consumption interface for AI agents operating with context.
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。
技術スタック
- CDN
- jsDelivr
- unpkg
- cdnjs
- Amazon CloudFront
- Cloudflare
- フレームワーク
- Vue.js
- Astro
- ライブラリ
- Swiper
- Tailwind CSS
- アナリティクス
- Google Analytics 4
- Google Tag Manager
- Plausible
- セキュリティ
- CookieYes
- CMS
- HubSpot CMS
- マーケティング
- HubSpot
企業情報
- 本社所在地
- Singapore
- 設立
- 2019
- 業界
- Enterprise data governance
- 業種(NAICS)
- 専門・科学・技術サービス業
- ウェブサイト
- atlan.com
- 採用ページ
- atlan.com/careers
- SNS
- LinkedIn · X · YouTube · Facebook · Crunchbase
勤務地別の募集
Atlan の採用拠点。都市を選ぶとその募集が表示されます。
Atlan に関する質問
- Atlanは採用中ですか?
- はい。2026年10月8日時点で、Metaintro にはAtlanの募集中のポジションが8 件あります。 過去30日間に2 件が掲載されました。 最も多いのは Business Development(2)、Sales(2)、Developer(1) です。
- Atlan はどこで採用していますか?
- Atlan は India、California, United States、New Jersey, United States、New York、San Francisco で採用しており、募集中のポジションが最も多いのは India です。
- Atlan 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 14% がハイブリッド、86% がリモートです。
- Atlan の顧客にはどのような企業がありますか?
- Atlan は Medtronic、General Motors、PPG、Elastic、Grainger など 28 社を顧客として挙げています。
