Zendesk

Software Engineer II (Fullstack) to join the AI Copilot organization, a multi-million ARR product that integrates AI into customer service agent workflows. The role involves end-to-end delivery of AI-powered product features, from frontend UI to backend services, working closely with ML engineers and scientists. Emphasis on delivering features, writing clean code, and growing skills in ML and LLMs.

Senior Fullstack Engineer to join the AI Copilot organization, a product that puts AI into the hands of customer service agents and administrators. The role involves leading the design, implementation, testing, and delivery of features for both React/TypeScript UIs and Ruby backend services, focusing on bringing AI-powered solutions to customers and enabling seamless AI interactions. The team ships early and often, iterating based on customer feedback. Responsibilities include owning feature delivery end-to-end, building performant UIs and robust backend services, collaborating with PMs and ML engineers, architectural decisions, addressing technical debt, driving design system adoption, optimizing backend logic, and mentoring junior engineers. Requires 5+ years of software engineering experience with a frontend focus, adaptability to backend challenges, fluency in TypeScript/React, experience with distributed systems, RESTful APIs, event-driven architectures, cloud infrastructure (AWS), SQL, and modern frontend architecture. Preferred experience includes design systems, micro-frontends, and Storybook. The tech stack heavily utilizes LLM technology.

Staff Frontend Engineer responsible for delivering the frontend experiences of Zendesk's AI Copilot product, which integrates AI-powered capabilities for customer service agents and administrators. This role involves end-to-end feature ownership, technical leadership, and collaboration with ML Engineers and backend engineers.

Senior Product Design Manager for Zendesk's Knowledge team, focusing on AI-powered conversational experiences. This role involves defining design strategy, leading a design team, and partnering with cross-functional stakeholders to deliver AI-driven self-service workflows and exceptional customer experience. Prior experience with designing LLM integrations and AI feature workflows is required.