Conversation Design Intern (Customer Success)

Remote from: USA
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Customer Success
Employment type: Internship,
Job posted: 8 May 2026
Apply before: 8 Jun 2026
Experience level: Entry-Level
Junior
Views / Applies: 860 / 204

Real-Time Intelligence for Contact Centers

AI Summary

Cresta is seeking a Conversation Design Intern to join their Customer Success team, focusing on designing AI conversation models for real-time coaching and virtual agents. The role involves collaborating with cross-functional teams, defining labeling guidelines, and maintaining AI model quality. Ideal candidates have strong communication skills, a desire to work in a fast-paced environment, and general knowledge of conversational AI. Experience with Python or bot design platforms is a plus. This internship offers an opportunity to work with cutting-edge AI technology in contact center solutions.

Job Complexity

Easy Hard

AI Insight The role is an internship requiring general knowledge of conversational AI and strong communication skills, but no extensive experience is needed, making it moderately challenging.

Salary Analysis

AI Insight The salary for this internship is not specified, but based on market data for conversation design interns in the US, the estimated median is around $40,000 annually. This is typical for a tech internship role with moderate skill requirements.

Key Skills

Conversational AI Natural Language Processing Python Customer Success AI Model Design Communication Skills Contact Center Labeling Guidelines Cross-functional Collaboration Bot Design

Cover Letter Sample

Dear Hiring Manager,

I am excited to apply for the Conversation Design Intern position at Cresta. With a strong foundation in conversational AI and a passion for enhancing customer experiences, I am eager to contribute to your team. My background includes coursework in natural language processing and hands-on experience with Python, which aligns well with the technical aspects of this role.

During my studies, I have developed skills in designing user-centric conversational flows and collaborating on cross-functional projects. I am particularly drawn to Cresta's mission of leveraging AI to transform contact centers and would be thrilled to work alongside experts from Stanford AI Lab and Google.

I am confident that my communication skills and eagerness to learn will allow me to quickly adapt to Cresta's fast-paced environment. Thank you for considering my application. I look forward to the possibility of discussing how I can contribute to your innovative team.

Sincerely,
[Your Name]

Possible Interview Questions

Can you explain what conversational AI is and how it differs from traditional chatbots?

Conversational AI uses natural language processing and machine learning to understand and respond to human language in a more natural, context-aware way. Unlike traditional chatbots that rely on predefined rules and keywords, conversational AI can handle complex conversations, learn from interactions, and provide personalized responses.

Describe a time you had to collaborate with a cross-functional team to achieve a goal. What was your role?

In a university project, I worked with a team of engineers, designers, and product managers to develop a prototype for a voice assistant. My role was to design the conversation flow and define user intents. I facilitated communication between the technical and design teams to ensure alignment on user experience and technical feasibility.

How would you approach designing a conversational AI model for a customer service contact center?

I would start by understanding the business objectives and common customer issues. Then, I would map out user journeys and define key intents and entities. After designing the conversation flow, I would collaborate with the data science team to label training data and iterate based on testing and feedback.

What experience do you have with Python, and how could it be applied to conversation design?

I have used Python for data analysis and building simple chatbots using libraries like NLTK and Rasa. In conversation design, Python can be used to process and analyze conversation logs, automate labeling tasks, and prototype conversational flows.

How do you stay updated with the latest trends in conversational AI and natural language processing?

I follow industry blogs like Towards Data Science, attend webinars from companies like Google and OpenAI, and participate in online courses. I also experiment with new tools and frameworks to gain hands-on experience.

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, and co-founder, Tim Shi, an early member of Open AI.
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 part of Cresta’s Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers’ contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool.

Responsibilities:

Assist with all stages of our AI Delivery projects – designing, building, deploying, and tuning AI solutions for multiple customers.
Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta’s AI product suite.
Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between.
Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed.
Lead model maintenance efforts to ensure that Cresta’s AI models continue to meet our quality standards.

Qualifications We Value:

Strong communication skills (verbal and written).
Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills.
General knowledge of Conversational AI and natural language processing models.
Experience working with Python is a plus.
Experience working any bot design platform is a plus
This posting will be used to fill a newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to [email protected].

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