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Quantiphi

AI

Reimagine business for the AI era, with AI-first digital engineering: We help enterprises reimagine and realize transformational opportunities that are core to their business.

Quantiphiは採用中ですか?

はい。2026年10月7日時点で、Metaintro にはQuantiphiの募集中のポジションが88 件あります。 過去30日間に23 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

Quantiphi 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

37
32
0
23
7月8月9月10月
10月:新規 23 件。

募集の勤務形態募集中ポジションに占める割合

21%
22%
17%
40%
ハイブリッドリモート出社記載なし
募集の 43% がハイブリッドまたはリモートです。

顧客

Quantiphi が顧客として挙げている 79 社すべて。

採用中の顧客10

導入事例20

その他の顧客49

  • Google Cloud
  • Oklahoma Office of Management and Enterprise Services
  • Data Engineering, Daily Harvest
  • Clinical Operations Oversight, Cerevel Therapeutics
  • Snowflake Alliance and Global Head of Financial Services and Insurance at Quantiphi
  • Text Analytics team at Merck Group
  • Illinois Tech
  • API Gateway
  • SNS
  • AWS Elastic Beanstalk
  • Elastic Load Balancing
  • Tablaue
  • Cloud Build
  • FireStore
  • Cloud Function
  • Cloud Run
  • Sendbird
  • Data studio
  • AVAYA - AEP
  • Dialogflow ES
  • Cloud Functions
  • Dialogflow
  • Python
  • SignalWire
  • GCP
  • Data cleaning & pre-processing
  • Computer Vision
  • Informatica
  • Google Cloud Function
  • Google Cloud Dataflow
  • Google Cloud Functions
  • Cloud SQL
  • Document AI
  • Google Analytics 360
  • Google Cloud Platform
  • periscope
  • codeaira
  • AdLingo
  • Google Business Messages
  • Dialogflow CX
  • Django
  • Google Data Studio
  • Azure OpenAI services
  • HuggingFace
  • Qliksense
  • BH
  • Upper Grand
  • Ides
  • Wake Forest

顧客の声

Quantiphi の顧客企業の担当者による声。

“The team was on top of everything and the turnaround to fix bugs was less than 48 hours. Despite the time zone difference, the team was very responsive. Shout out to the Quantiphi team.”

Evelyn Oliveria · Project Manager · Oklahoma Office of Management and Enterprise Services

“For decades, the industry and the concerned authorities have been looking at cruelty-free testing solutions. So, when DART was presented as a thoroughly researched cruelty-free workstation solution supporting potency measurements that requires no additional infrastructure, we added it to our practice for seamless integration in our production workflow. I am very pleased with the value proposition.”

““We are satisfied with the insights provided regarding the risks of human cardiotoxicity. With the data now available, we are prepared to select the IND for further investment in our lead program.””

Clinical Development Scientist

“Quantiphi’s ability to balance our requirements with their deep knowledge of GCP best practices enabled us to quickly gain confidence that we were building a robust, scalable system”

James Kim · Director · Data Engineering, Daily Harvest

“At Google Cloud, we aim to provide best-in-class infrastructure to organize the world’s data. Across biotechnology firms, we have seen this pursuit unlock data sets that were previously unavailable to scientific teams and investigators. With the application of AI and machine learning technologies to documents, physician notes, electronic medical records, and other datasets, we believe companies like Cerevel will be one step closer to a more effective clinical trial environment and gain greater insight into patient care.”

Shweta Maniar · Director of Life Sciences Industry Solutions · Google Cloud
さらに 8 件の声を表示

“Google Cloud has proven to be a powerful platform for Cerevel as we unravel the mysteries of the brain to treat neuroscience diseases. We have combined Google Cloud’s technology, Quantiphi’s technical expertise in Artificial Intelligence, and Cerevel’s deep domain expertise to accelerate our Cloud and Digital Transformation strategy.”

Doug Barta · Chief Information Officer · Cerevel Therapeutics

“Cerevel is committed to execution excellence, and this collaboration and AI solution has given our teams greater insights into reporting across clinical workflows, allowing us to better manage our clinical trials with a focus on quality and compliance. Our teams are excited to add this tool to their arsenal and have already started evaluating additional AI capabilities to further support our mission to push boundaries, develop solutions and transform lives.”

Laura Whitmore · Senior Director · Clinical Operations Oversight, Cerevel Therapeutics

“By combining our expertise with Snowflake’s powerful data platform, we collaborated with Chalo to build a scalable and efficient data ecosystem. This showcases how strategic partnerships can drive innovation, optimize operations, and create smarter businesses for the future.”

Bhaskar Kalita · Executive Sponsor · Snowflake Alliance and Global Head of Financial Services and Insurance at Quantiphi

“Our biggest challenge was migrating 3000+ queries from AWS Redshift to Snowflake while ensuring minimal disruption.”

Atmesh Mishra

“Assessing the relevance of animal studies in securing regulatory approval for biosimilars is gaining increasing importance. With regulatory agencies advocating for alternative methods to animal testing, innovative solutions—such as Transcell’s human Microphysiological Systems combined with Quantiphi’s AI and ML-driven in-silico modeling—offer promising avenues to create more predictive and effective scientific tools, ultimately protecting human and animal health as well as the environment.”

“It was a great experience collaborating with Quantiphi team which showcased their expertise in the area of NLP, machine learning, LLM and prompt engineering for problem statement in the engagement. The team was quite thorough in the experimentation as well as documenting the outcomes throughout the engagement. The team also has decent expertise in the area of managing the deliverables and provide consulting on potential ways forward. Thanks to entire team of Quantiphi for an insightful engagement.”

Text Analytics team at Merck Group

“We are thrilled to partner with Quantiphi and deploy our cloud-agnostic Upcycling Data capabilities to the Google Cloud and have a glide path to application deployment on the Google Marketplace. Clinical data is tremendously valuable but using it at scale requires complex standardization and transformation. Availity Fusion unleashes the full potential of clinical data across an enterprise organization. It transforms in real-time myriad data sources and formats into standard, fit-for-purpose data aligned with national healthcare data standards, including analytics-ready FHIR resources.”

Mary Lantin · General Manager of Availity Clinical Solutions

“This system enabled us to streamline operations and better utilize our resources towards enhancing student support and academic excellence.”

Sejal Vaishnav · Former Chief Innovation Officer · Illinois Tech

AI のローンチと提携

Quantiphi が AI 分野でローンチしたものと協業先。

  • 研究Phi LabsPhi Labs is Quantiphi’s R&D powerhouse, driving next-generation AI innovation with real-world impact across generative AI, digital twins, life sciences, and quantum computing.

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
  • CI/CD
  • SQL
  • AWS
  • Kubernetes
  • Terraform
  • Git
  • Java
  • Observability
  • FastAPI
  • Docker
  • React

技術スタック

ライブラリ
Font Awesome
Tailwind CSS
Bootstrap
フレームワーク
Next.js
アナリティクス
Segment
Hotjar
Google Tag Manager
Google Analytics 4
CMS
HubSpot CMS
WordPress
セキュリティ
CookieYes
マーケティング
HubSpot

企業情報

設立
2013
業界
AI
業種(NAICS)
専門・科学・技術サービス業
同業他社
Anyone AI
ウェブサイト
quantiphi.com
採用ページ
quantiphi.com/careers

勤務地別の募集

Quantiphi の採用拠点。都市を選ぶとその募集が表示されます。

類似企業

Quantiphiと同じ業界で現在採用中の企業。

Quantiphi に関する質問

Quantiphiは採用中ですか?
はい。2026年10月7日時点で、Metaintro にはQuantiphiの募集中のポジションが88 件あります。 過去30日間に23 件が掲載されました。 最も多いのは Developer(19)、Artificial Intelligence/Machine Learning(16)、Sales(13) です。
Quantiphi はどこで採用していますか?
Quantiphi は Mumbai、Bengaluru、United States、Canada、Thiruvananthapuram、Boston で採用しており、募集中のポジションが最も多いのは Mumbai です。
Quantiphi 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 21% がハイブリッド、22% がリモートです。
Quantiphi の顧客にはどのような企業がありますか?
Quantiphi は Salesforce、Altrecht、Docker、Appsflyer、Apollo など 79 社を顧客として挙げています。
Quantiphi 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、CI/CD、SQL、AWS、Kubernetes です。
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