Turn every interaction into a competitive advantage with the AI operating system for customer experience.
Sunnyvale, California
Cresta is the AI operating system for customer experience, where human and AI agents work together to power the entire customer lifecycle. Cresta automates conversations and back-office processes, augments human work, and puts insight into action, so each conversation makes the next one better. Companies like United Airlines, CVS Health, and Marriott use Cresta to turn every interaction into a competitive advantage. Learn more at Cresta.com.
Remote · Canada, United States
Build and maintain Cresta’s frontend platform, develop reusable and well-tested system components, and collaborate with product, engineering, and customers to deliver platform improvements. Expand the product to native and hybrid mobile applications by building Android and iOS SDKs for AI agent integrations.
On-site · Toronto
You will collaborate with senior engineers to write and push high-quality code for both frontend and backend. Additionally, you will work on building products that leverage ML/AI technologies.
Remote · United States, Canada
Architect and build scalable backend systems for agent assist integrations and authentication frameworks. Ensure high availability and security for real-time conversation systems within complex enterprise ecosystems.
Hybrid
The role involves playing a substantial part in the platform frontend engineering team, working closely with product and engineering teams to build and improve the Cresta platform. Responsibilities also include developing high-quality system components and identifying product improvement opportunities.
Remote · Toronto, Ontario, Canada
The Senior Software Engineer will design, scale, and operate distributed services for Cresta’s voice ecosystem. Responsibilities include leading the development of backend microservices and collaborating with cross-functional teams to implement innovative features.
Remote · United States
The role involves designing, building, and maintaining low-latency serving stacks for ML models, as well as automating training pipelines and optimizing performance at scale. Additionally, the engineer will create reusable SDKs and mentor others on production ML best practices.
Remote · United States, Canada
Design and build scalable backend services to integrate AI Agents with CCaaS platforms for real-time customer conversations. Architect systems for conversation state management and seamless AI-to-human handoffs while ensuring high availability and security.