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The Senior Frontend Engineer on Zendesk AI Agents will shape and build the platform, collaborating with PMs, AI/ML engineers/scientists, and backend developers to deliver fast, reliable features with a strong focus on user experience and scalable AI products, while maintaining a solid codebase and rapid iteration. Responsibilities include maintaining and developing the Zendesk AI Agents platform with TypeScript and React, proactively improving codebase and architecture (including CI/CD and deployment), contributing to modular and scalable solutions, building user-friendly frontend apps to design conversations and automate workflows, working with the team to ensure features are stable and intuitive, and continuously learning new tools to enhance UX and reduce complexity. The ideal candidate is communicative and product-minded, confident with web standards, proficient in TypeScript and React (or similar like Angular/Vue), capable of mentoring and writing tests, embraces feedback, and may have server-side/infrastructure/micro-frontends experience; they should be able to address performance bottlenecks, care about engineering practices and end-user needs, enjoy mentoring and asking for help, and be curious with strong English skills. Success is measured by contributions to frontend architecture and performance, shipping features that solve real customer problems, and influencing the team’s product direction with ideas. Zendesk offers a hybrid work environment, is an equal opportunity employer committed to diversity and inclusion, and provides accommodations for applicants with disabilities; AI may screen applications, and accommodations can be requested by emailing peopleandplaces@zendesk.com.

Zendesk is hiring a Voice AI Engineering Principal to lead the development and deployment of cutting-edge AI/ML technologies for speech and natural language processing, shaping scalable, voice-enabled customer experiences. You will oversee researchers across ASR, TTS, LLMs, and voice dialog systems, driving production-ready solutions and collaborating with research, software, and product teams. Responsibilities include designing next-generation voice AI (noise-robust multilingual ASR, neural TTS, advanced QA dialogs with pretrained models), building scalable AI pipelines with DNN/CNN/RNN/Transformer architectures, and enforcing software best practices (CI/CD, code reviews, version control) while staying current with AI breakthroughs. Qualifications call for hands-on experience with PyTorch, TensorFlow, Keras, and HuggingFace, strong programming skills (Python, C++, Java), and a track record of deploying production voice AI systems with multilingual capabilities; an MS in Engineering, CS, or related field with a focus on ML, speech processing, and on-device AI is preferred. The role is hybrid, requiring some in-office presence, and Zendesk emphasizes diversity and inclusion, with accommodations available for applicants; AI screening may be used in the hiring process and additional company information and DEI resources are available.