Zendesk

ML Scientist Intern role focused on researching, developing, and deploying NLP/ML models for customer experience automation, including intent detection, auto-assist, chatbots, and agent routing. Collaborates with engineers and product managers to translate research into scalable solutions, working with large datasets and exploring techniques like RAG and fine-tuning. Involves rigorous experimentation, productionization, and staying updated with ML/NLP literature.

Staff Machine Learning Engineer to own the ML surface of routing and presence products, transitioning from a rules-based engine to an agentic routing engine. The role involves end-to-end ML ownership from feature engineering and model design to production serving and monitoring, with a focus on applied ML for measurable customer outcomes at scale within a product engineering team. Responsibilities include designing experimentation frameworks, shaping the integration of classical ML and LLM components, and mentoring other engineers.

This role is for a Senior ML Scientist focused on researching and building AI capabilities for customer experience, specifically intelligent triage and recommendations. The role involves collaborating with applied ML scientists and engineers, applying ML techniques like neural networks and information retrieval, and supporting the productionization of these models. It requires an MSc degree, strong Python and deep learning library skills, and a pragmatic, results-oriented approach. Knowledge of NLP, generative models, and information retrieval is preferred.

Staff Software Engineer for Zendesk's AI Copilot organization, focusing on leading the architecture and delivery of AI-powered product features. The role involves bridging product engineering and ML/science, integrating LLMs into production systems, and scaling AI capabilities for customer service agents. Requires strong software engineering background with experience in distributed systems, cloud infrastructure, and integrating ML models into production.

Senior Software Engineer to join AI Copilot organization, delivering AI-powered product features at scale. Focus on end-to-end ownership, integrating ML capabilities, building scalable backend services, and collaborating with ML Scientists and Product Management.

Senior Machine Learning Engineer to build and ship LLM-powered applications, including agent architectures and evaluation frameworks, on solid data foundations. The role involves end-to-end ownership from identifying needs to production deployment and iteration, with a focus on driving business outcomes and stakeholder collaboration.

Staff Software Engineer to join the Maquina team, focusing on building AI-powered procedures and conversational AI agents for customer experience. The role involves developing Ruby on Rails and TypeScript services, leading resolution of complex reliability problems, mentoring colleagues, and driving AI adoption. Experience with LLM integrations and enterprise-level AI feature implementation is required.

Zendesk is seeking a Senior AI Data Engineer to build and scale the data infrastructure for their AI Copilot product, which provides AI-driven features for customer service agents. The role involves designing and maintaining ELT pipelines, supporting ML Scientists and Engineers, optimizing data models, implementing cost-saving strategies, and ensuring model monitoring and evaluation.

QA Engineer focused on localization, with a strong emphasis on testing AI-driven features and LLM-generated content. The role involves implementing AI quality frameworks, validating linguistic and functional correctness across locales, optimizing vendor operations, and collaborating on internal testing tools. Requires hands-on experience testing AI features and foundational scripting knowledge.

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.

Seeking a Senior Product Manager to lead a new Knowledge Graph team focused on ingesting and modeling content for AI experiences. The role involves creating a roadmap, forming a team, collaborating with engineering and data science, driving feature development, and overseeing data quality. Requires experience in SaaS product management, familiarity with LLMs/RAG/generative AI, and content processing at scale (NLP, OCR, document cleaning).

This role is for an AI Services Consultant who will act as a technical expert and trusted advisor to customers, guiding them through the implementation and optimization of Zendesk's AI-powered Resolution Platform. The consultant will focus on accelerating customer time-to-value, driving adoption, and ensuring successful project delivery, ultimately leading to measurable business impact and customer satisfaction. The role requires strong consulting, communication, and project management skills, with a deep understanding of AI technologies and Zendesk's AI products. Fluency in French or German is mandatory.

Senior Product Designer for Zendesk's Knowledge team, focusing on designing a best-in-class knowledge platform that powers conversational AI experiences. The role involves rethinking the Help Center for the age of AI, managing knowledge quality, and enabling AI-driven self-service workflows.

Senior Software Engineer to join the Maquina team, which builds AI-powered procedures and conversational AI agents for customer experience. The role involves working across the full stack, from recommendation engines to agent-facing UI and execution runtime, integrating with a large RAG platform. The team tackles complex challenges involving multiple services, data pipelines, and ML integrations, valuing pragmatic engineering and shipping working software.

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.

This role is for an AI Services Consultant who will act as a technical expert and trusted advisor to customers, guiding them through the implementation, configuration, and optimization of Zendesk's AI-powered Resolution Platform. The focus is on accelerating customer time-to-value, driving adoption, and ensuring measurable business impact from AI solutions. While the role involves deep understanding of AI technologies, it is primarily a customer-facing consulting and project management position focused on product adoption rather than core AI/ML development or research.

This role focuses on helping customers implement and adopt Zendesk's AI-powered Resolution Platform. It involves providing technical expertise, guidance, and project management to ensure successful integration, optimization, and value realization of AI solutions, ultimately driving customer satisfaction and business outcomes.

This role is a Customer Success Specialist focused on helping customers adopt and optimize Zendesk's Employee Service solutions. It involves advisory, partnership with CSMs, and contributing to scaled programs and enablement. The role requires expertise in ITSM/ITAM and Employee Experience, with a focus on driving value realization and influencing the product roadmap.