Ready to apply? Let us help you stand out.
About the role
Our Mission
We are building the future of performance management in customer experience roles with AI. The workforce today is evolving fast, and customer-facing roles are now blended: human and AI. Customer support quality and training have always been a challenge - the last department to get budget, always viewed as a cost center, always strained for resources. And yet it’s always been the moment of truth: when the rubber hits the road, the first impression a customer has of the product and the company they chose to trust.
Quality standards have always varied, with far fewer resources than actually needed. Understaffed but mighty CX teams have operated on a best-efforts basis for years—but this is no longer necessary with AI. Resources become infinite, but risks and complexity increase too.
Our mission is to build the Performance Management layer for Human and AI CX Teams. Intryc is trusted by multi-billion dollar companies and fast-growing startups like Deel.com, MaintainX, Preply, Blueground, Fyxer AI, Ziina, and more.
Our customers use Intryc to automate ticket, call, chat, and email scoring, streamline pattern and insight gathering and summarisation, and create and assign training modules for their agents.
About us
Behind Intryc is a squad of ex-Meta, Amazon, Revolut, Confluent, and Twitter folks who spent over 7 years leveling up customer experience for these companies. We know first hand how painfully manual, repetitive, and error-prone Support QA processes are. That’s why we built Intryc, to solve this so that customer support teams can focus on what really matters to them – their customers and business goals.
Our passion that fuels our mission at Intryc comes from our conviction that we are at an inflection point, fuelled by the rapid evolution and proliferation of GenAI and LLMs, that will fundamentally change how humans interact with the digital and physical world. Even though LLMs are still nascent in their adoption and far from perfect in their everyday use, we believe that we’re experiencing a turning point similar to the dawn of the internet in our every day lives. Human-LLM interactions are rapidly evolving and have the potential to provide tenfold improvements in how things are done today across various industries and functions.
