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Life at Quantiphi

We make sure our team feels acknowledged and appreciated. Launch Lunches and quarterly Rewards & Recognitions are some of the ways we celebrate our team. Explore our vibrant work culture.

Life at Quantiphi Life at Quantiphi
Life at Quantiphi Life at Quantiphi
Life at Quantiphi Life at Quantiphi
Life at Quantiphi Life at Quantiphi
Life at Quantiphi Life at Quantiphi
Life at Quantiphi Life at Quantiphi
Life at Quantiphi Life at Quantiphi
Life at Quantiphi Life at Quantiphi
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Why we love working at Quantiphi

Quantiphi allows me to make a direct impact on Healthcare & Life Sciences market segments – as a transformative force for good. With incredibly talented and devoted professionals, we deliver solutions that drive innovation at the convergence of biology, technology, and advanced artificial intelligence techniques.

Bruno Nardone

Bruno Nardone

Global Head of Healthcare and Life Science Business Unit

At Quantiphi, I have witnessed the growth and adoption of endless possibilities that AI and ML have in healthcare. Being involved in the solutions that allow higher quality of life, greater accuracy in the field, and changing healthcare for the better, is beyond rewarding.

Hilary Cull

Hilary Cull

Solution Manager-Healthcare and Life Sciences

Quantiphi is a fast-paced, fun organization whose employees are extremely supportive. Regardless of the team, you are on, there is deep collaboration and engagement throughout the organization. Quantiphi employs only the brightest stars in the field who are a joy to work with!

Benjamin Kent

Benjamin Kent

Event Lead - Marketing

Quantiphi is an organization that exemplifies the meaning of collaboration, idea sharing, experimentation and innovation.  New ideas are both welcomed and embraced.  Our team members are what fuels our success and Quantiphi’s velocity require us to seek inclusion, diverse opinions and smart execution.

Jim Keller

Jim Keller

AWS Channel Global Leader

The fast-paced environment at Quantiphi has enabled me to gain expertise in Cloud, AI, and Analytics in a very short time span. I am grateful for the opportunity to work in a place that helps us grow to greater heights.

Rahul Kushwah

Rahul Kushwah

Solution Architect - Platform Engineering

Quantiphi offers great opportunities to work on the latest technologies in the Cloud, Big Data, and AI/ML space with Fortune 500 clients. The company’s inclusive culture, committed workforce, and focus to always deliver top results on time to clients is infectious!

Avinash Giridhar

Avinash Giridhar

Engagement Manager

Our Values

Collaboration
Collaboration
We are a team. We show up for each other, enhance the learning experience, and ensure success.
Transparency
Transparency
Quantiphi is proud to provide complete visibility into different functions as we work towards a common goal.
Diversity
Diversity
We appreciate diverse views and experiences. Our global presence gives us perspectives that drive better business.
Continuous Learning
Continuous Learning
We love solving the most complex business problems for our clients by providing an environment that fosters professional growth.
Integrity
Integrity
We are committed to doing what’s best for our customers and our company. We have no tolerance for politics or hidden agendas.
Innovation
Innovation
We combine the latest advances in technology with our industry expertise in order to deliver transformational results at the heart of business.

Office Locations

United States

Offices in United States

Boston
33 Boston Post Road West, Marlborough, MA 01752
Princeton
4365 Route 1 South, Princeton, NJ 08852
San Jose
2460 N 1st Street, San Jose, CA 95131
Canada

Offices in Canada

Toronto
119 Spadina Avenue, Toronto, Ontario, M5V 2L1, CA
India

Offices in India

Mumbai
C-wing, Level 2, Eureka Towers, Mindspace, Malad (W), Mumbai-400064
Bengaluru
Trifecta Adatto, No. 21, ITPL Main Rd, Garudachar Palya, Mahadevapura, Bengaluru, Karnataka 560048

Certification Statistics

72
Solutions Architects
47
Cloud Practitioners
319
Cloud Engineers
51
Certified Developers
45
Machine Learning Engineers

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