Zendesk
Enterprise · Customer support
- HQ
- San Francisco, US
- Founded
- 2007
- Size
- 3,000+
- Website
- zendesk.com
Enterprise · Customer support
Currently tracking 20 active AI roles, up 72% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $158k–$374k (avg $261k).
| Title | Stage | AI score |
|---|---|---|
| Senior Staff Machine Learning Engineer Senior Staff Machine Learning Engineer at Zendesk to lead end-to-end design, development, and deployment of novel ML/LLM models and algorithms for customer service. The role involves pioneering initiatives like multilingual analysis, conversational AI agents, and agent-assist solutions, defining experimentation standards, and bridging research with production systems. Responsibilities include mentoring, advising leadership on AI strategy, and representing Zendesk externally. Key challenges involve agentic operations, automation of customer service interactions, large-scale A/B testing, leveraging RAG and fine-tuning for conversational AI, operationalizing LLMs, and incorporating emerging AI advancements. | AgentPost-train | 9 |
| Staff Machine Learning Engineer, AI Agent Staff Machine Learning Engineer focused on building AI Agent experiences for customer support, involving reasoning, tool use, and integration with Zendesk systems. The role emphasizes end-to-end product development, reliability, and technical leadership. |
| Agent |
| 8 |
| Senior AI Engineer Senior AI Engineer at Zendesk focused on building and deploying production-grade LLM applications and agentic architectures. The role involves designing, building, and scaling these systems, establishing evaluation frameworks, developing Python services, managing data foundations, and translating complex AI concepts for stakeholders. Emphasis on enterprise AI solutions and driving business value. | Agent | 8 |
| Staff Security Engineer Staff Security Engineer to join the Threat Prevention Engineering team, focusing on driving large-scale security engineering initiatives that blend modern detection, automation, and AI-assisted workflows. The role involves owning the AI roadmap, architecting and operating cloud-native security data infrastructure, leading complex security engineering initiatives, building automation-first security workflows, and mentoring peers in AI tooling adoption. | Agent | 8 |
| Senior Machine Learning Scientist Senior Machine Learning Scientist to work on an AI Agent system (Gen3) for Zendesk's chatbot and voice assistance. The role involves owning product areas, bridging ML research and real-world impact, shaping roadmaps, and collaborating with cross-functional teams. Responsibilities include designing and testing AI solutions, owning research projects end-to-end, discussing ideas, keeping up with NLP/ML literature, working with ML engineers, using tools for rapid implementation, and collaborating with product managers. | Agent | 8 |
| Director, Product Management Director of Product Management for Zendesk's Support Core organization, focusing on defining and leading the strategy for foundational support systems (Ticketing, Search, Email, Lists). The role involves transforming core systems into AI-forward, composable components, owning both platform capabilities and shared product experiences, and enabling product teams to move faster with AI-integrated solutions. This includes modernizing architecture, elevating developer experience, and embedding AI capabilities throughout the core. | AgentServe | 7 |
| Staff Machine Learning Engineer 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. | AgentServe | 7 |
| Senior Product Manager - AI Agents Senior Product Manager to own the AI agent infrastructure for the Forethought platform. This includes the reasoning engine, authoring tools, self-improvement mechanisms, and multi-channel infrastructure. The role requires guiding roadmap development, defining the authoring and configuration experience, setting quality standards for AI agent interactions, designing for multiple personas, and leading hypothesis-driven product development. Requires 5+ years in B2B SaaS PM with experience shipping AI/ML products, a deep understanding of language models and agentic architectures, and a track record of defining quantitative success metrics for AI systems. | Agent | 7 |
| Staff Software Engineer - Ruby 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. | AgentServe | 7 |
| Senior Machine Learning Engineer 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. | AgentEval Gate | 7 |
| Staff Software Engineer 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. | Agent | 7 |
| Data Scientist Zendesk is seeking a Data Scientist to develop and deploy AI capabilities for their agentic AI experience, focusing on retrieval and ranking models for their core AI search engine. The role involves full-stack ownership from data exploration to production rollout and monitoring, with a strong emphasis on scalability, reliability, and performance. Requires 3-5 years of experience shipping models to production, strong Python and software engineering skills, deep DS/ML knowledge, and comfort with MLOps (Docker, Kubernetes, cloud platforms). | AgentServe | 7 |