The Ampin App
deep insights into the Atlassian community

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.

Zendesk is hiring a Principal Technical Program Manager in Product Development to lead multiple complex cross-functional AI Agent programs that deliver measurable business outcomes and align with Level 1–3 OKRs, keeping an end-to-end view of value creation and proactively mitigating delivery risks. The role involves autonomously initiating, structuring, and executing programs, owning strategy and governance from kickoff through delivery, and driving the OKR narrative with clear progress. You will identify cross-functional dependencies early, design end-to-end execution plans, manage governance forums and escalation paths, and communicate with executive presence while mentoring others and scaling program management practices. Basic qualifications include substantial experience leading complex software/engineering programs, the ability to manage multiple programs with broad dependencies, strong planning and risk management, decision-making, and the use of AI/LLMs to accelerate delivery, along with data analytics and proficiency with Jira/Confluence and agile/Lean practices. The role is hybrid (part in-office, part remote), and Zendesk emphasizes equal opportunity and diversity, provides a candidate privacy notice, notes that AI may be used to screen applicants, and offers accommodations for applicants with disabilities.