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Are you ready to redefine the future of work with cutting-edge AI? At Cresta, we’re on a groundbreaking mission to supercharge the effectiveness of knowledge workers, making them 100x more productive, 10x faster, and 10x better.
Imagine transforming Call Center operations with our real-time agent assist product and harnessing the power of AI with our comprehensive suite of post-call analytics and coaching tools. Born from the prestigious Stanford AI lab, Cresta was co-founded by visionary Sebastian Thrun, the genius behind Google-X, Waymo, Udacity, and more. Our company is now driven by Ping Wu, the co-founder of Google Contact Center AI and the Vertex AI platform and Tim Shi (co-founder), an early member of Open AI.
Our world-class team comprises AI and ML experts, dynamic go-to-market leaders, and top-tier investors and advisors from Andreessen Horowitz, Greylock Partners, Sequoia Capital, and former AT&T CEO John Donovan. With an impressive roster of clients like Intuit, Porsche, and Verizon, and accolades from Business Insider, Forbes, and Gartner, Cresta is a startup that’s capturing the world’s attention. We’re also recognized on the Forbes AI50 in 2024!
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it’s at Cresta.
We are seeking an experienced Full Stack Engineer to join the Conversation Intelligence team. The team is at the forefront of this innovation, developing intelligent post-call analysis, agent performance management and coaching tools that are transforming the industry. In this role, you will play a crucial role in designing, developing, and maintaining the core features of our AI-powered conversation intelligence platform. The team is a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue individual projects.
Responsibilities:
Perks & Benefits:
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.
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