AI Product Manager - R01541121

Posted:
8/25/2024, 5:06:09 PM

Location(s):
Dallas, Texas, United States ⋅ Texas, United States

Experience Level(s):
Expert or higher ⋅ Mid Level ⋅ Senior

Field(s):
Product

Workplace Type:
Hybrid

Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital and Orogen groups growing at a significant pace since its inception, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology – cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance. With delivery locations across the United States, United Kingdom, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio has been certified ‘Great Place To Work’ over the past few years across all of its locations. Learn more about us @ www.brillio.com.

Role Brief – As a Product Manager you will work with clients, internal solution teams and technical consultants to understand their client's unique business requirements, guide technical consultants and help clients achieving their strategic goals (primarily related to their digital strategy).

Brillio

Website: https://www.brillio.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 1001-5000

Year Founded: 2014

IPO Status: Private

Last Funding Type: Private Equity

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Big Data ⋅ Cloud Computing ⋅ Consulting ⋅ Enterprise Applications ⋅ Machine Learning ⋅ Mobile