Conversational Designer

Cresta
United States (Remote)Posted 19 March 2026

Job Description

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun , the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu , the co-founder of Google Contact Center AI and Vertex AI platform, co-founder, Tim Shi , an early member of Open AI. We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former ATT CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the Role: As a Conversation Designer , you will be responsible for designing and delivering best-in-class AI conversation models that power real-time coaching and assistance for contact center agents, as well as virtual agents across voice and chat. This role combines conversational design expertise with strong project ownership. You will manage complex AI delivery engagements from initial discovery through deployment and optimization, ensuring projects stay on track, stakeholders remain aligned, and outcomes meet defined business objectives. You’ll collaborate closely with cross-functional partners across Machine Learning, Data Science, Engineering, Product, Project Management, and Customer Success, while also serving as a key point of contact for customers throughout implementation. You will help customers align on overall solution design and enable them to build and maintain their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Own end-to-end AI delivery projects , including discovery, requirements gathering, solution design, build, deployment, QA, and post-launch optimization Manage multiple concurrent customer implementations, balancing timelines, priorities, and stakeholder expectations Partner cross-functionally to define scope, track milestones, mitigate risks, and ensure successful execution Translate customer business objectives into scalable conversational AI solutions across sales, retention, collections, and customer service use cases Drive alignment with customer stakeholders through regular working sessions, solution reviews, and executive-ready presentations Lead model maintenance and performance tuning efforts to ensure ongoing quality and measurable impact Deliver Cresta’s Opera Enablement Program to key stakeholders, empowering customers to independently design, build, and QA their own AI models Design and develop virtual agent solutions using flow-based, prompt-based, and hybrid architectures Contribute to internal best practices, documentation standards, and repeatable delivery frameworks Qualifications We Value: Strong written and verbal communication skills, with the ability to drive alignment across technical and business stakeholders Demonstrated project management experience, including managing multiple complex workstreams simultaneously Proven ability to independently own deliverables, timelines, and cross-functional coordination in a fast-paced environment 2+ years of experience in conversational design, conversational AI, or bot development Experience presenting complex solutions to customer stakeholders, including executive audiences Experience working directly with enterprise customers in implementation or delivery roles Fluency in a ... (truncated, view full listing at source)
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