Senior Full Stack Engineer - Conversation Intelligence

Das ist der Job

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage.

Darum lohnt es sich

About the role: The QM & Coaching Team at Cresta is vital for our post-call intelligence products. You’ll partner with designers, product managers and AI/ML teams to turn complex requirements into delightful and performant product experiences.

Qualifications • Proven experience as a Fullstack Engineer, with strong frontend and backend contributions to no-code or low-code platforms. • Deep understanding of modern frontend technologies (React, TypeScript, etc.) and design patterns for building complex UIs. • Backend expertise in Python, Go, or similar languages; experience with RESTful APIs and microservices architecture. • Strong foundation in database systems and data modeling; hands‑on experience with Postgres, ClickHouse, or Elasticsearch is a plus. • Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces. • Familiarity with managing state, execution logic, or visual programming paradigms is a bonus. • Strong collaboration and communication skills—able to work effectively across product, design, and engineering teams. • Passion for building systems that simplify complex problems and empower users.

Perks & Benefits: • Comprehensive medical, dental, and vision coverage with plans to fit you and your family • Flexible PTO to take the time you need, when you need it • Paid parental leave for all new parents welcoming a new child • Retirement savings plan to help you plan for the future • Remote work setup budget to help you create a productive home office • Monthly wellness and communication stipend to keep you connected and balanced • In-office meal program and commuter benefits provided for onsite employees Compensation for this position includes a base salary, equity, and a variety of benefits.

Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel.

The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia.

Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google’s Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day.

Come build that future at Cresta. Our core mission is to utilize Large Language Models (LLMs) and advanced AI techniques to transform conversations into actionable intelligence, streamlining the process of agent performance review and coaching.

We build systems that deeply analyze agent behaviors, delivering structured insights into their performance and pinpointing critical areas for improvement. Through AI-powered exploration and interactive workflows, our work empowers organizations to leverage data-driven decisions and enhance the overall customer experience.

As a Senior Fullstack Engineer, you’ll play a key role in building and scaling the no-code platform that powers Cresta’s processing capabilities. This platform empowers non-technical users to configure conversation workflows, apply automation without writing code.

You will work across the stack—from building intuitive UIs to robust backend services—enabling customers to unlock value from conversations quickly and flexibly. You’ll also help shape the future of our no-code architecture, ensuring it scales with our product and customer base.

Responsibilities • Design, develop, and maintain end-to-end features for Cresta’s no-code processing platform. • Build intuitive UI components and visual editors for configuring conversation logic and workflows. • Architect and implement backend services and APIs to power a dynamic no-code interface. • Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way. • Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch. • Identify areas for performance improvements and scalability in both frontend and backend systems. • Ensure reliability, security, and maintainability across the full technology stack. • Participate in design discussions, code reviews, and continuous integration processes.

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. This posting will be used to fill a newly-created role.