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Say hello to opportunities.
It’s not everyday that you consider starting a new career. We’re RingCentral, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re a $2 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers.
The Mission
You will play a lead role in a high-impact transformation: evolving RingCentral’s 1,300-person global technical support organization from a human-centric operation into a hybrid, agentic AI ecosystem. We are moving beyond traditional chatbots to build autonomous voice AI agents capable of reasoning, planning, and executing complex support workflows to resolve customer issues at scale.
The Role
As a Staff ML/AI Engineer in the Agentic Support Technology team, you will serve as a hands-on technical leader for our production ML/AI initiatives. You will design, build, and scale production ML/AI systems, bringing cutting-edge research into reliable, high-performing solutions for millions of users. Leveraging deep experience in optimizing and scaling ML/AI solutions, you will ensure our systems are robust, performant, and dependable.
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What we offer:
About RingCentral
RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone™ (MVP™) global platform. More flexible and cost effective than legacy on-premises PBX and video conferencing systems that it replaces, RingCentral® empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location. RingCentral is headquartered in Belmont, California, and has offices around the world.
RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.