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Exotel in India is seeking a Technical Project Manager to own end-to-end delivery of the CQA products, coordinating enterprise implementations and bridging AI product performance with enterprise execution.
You will lead technical stakeholder discussions, manage delivery lifecycles, and coordinate across engineering, pre-sales, and delivery teams to ensure successful deployments of GenAI applications within client environments.
Exotel is the emerging market’s leading full-stack customer engagement platform and business-focused virtual telecom operator. Founded in 2011, our cloud-based product suite powers over 50 million daily engagements across voice, video, and messaging channels.
Trusted by 6,000+ companies across 60+ countries—including India, Southeast Asia, the Middle East, and Africa—Exotel enables unified customer engagement for leading businesses such as Ola, Swiggy, Flipkart, GoJek, Byju’s, HDFC Bank, Zomato, and Urban Company. Our offerings include communication APIs, a modern omnichannel contact centre, and a conversational AI platform hosted on the cloud. We are a Series D company valued at $100 million with $60 million in ARR.
This role sits directly within our product pod, managing the end-to-end technical delivery of Conversational Quality Assurance (CQA) products. Unlike broader corporate delivery tracks, this position has direct ownership of enterprise implementations from initiation to completion, serving as the bridge between cutting-edge AI product performance and enterprise execution.
We are seeking an Technical Project Manager to fully own the end-to-end execution, delivery processes, and client communication for our CQA product line. In this role, you will step into a key leadership position within the pod, managing all technical communication with incoming enterprise customers, translating their expectations into functional workflows, and driving internal execution.
As the delivery lead, you will have direct ownership of the project lifecycle. You will balance high-stakes stakeholder management with a deep technical understanding of cloud telecom ecosystems and frontier AI.