Zendesk has 37 active AI-related job listings, with a significant focus on roles related to agents, accounting for 46% of their openings. Engineering is the most represented function, with 28 positions. The company is actively hiring in Portugal and Poland. Technical tags frequently appearing include model_serving, llm_observability, and agent_orchestration, suggesting a focus on deploying and managing AI models for customer service applications. Over the last 30 days, Zendesk has added 35 new AI roles, representing a 67% increase compared to the previous 30-day period.
Currently tracking 18 active AI roles, down 73% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $158k–$374k (avg $261k).
Zendesk currently has 29 active AI-related roles in our index. The most common open titles are: Staff Software Engineer (3), Senior Product Manager (2), Staff Machine Learning Engineer (2), AI Agent Abuse Prevention Engineer, AI Services Consultant II. Most positions are in Engineering and Product.
Zendesk's active AI hiring is concentrated in: agents (52%), application (21%), post-training (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Zendesk is hiring AI talent in: Portugal (12 roles), Poland (6 roles), United States (5 roles), Ireland (3 roles).
Job postings at Zendesk most frequently reference: llm observability, agent orchestration, model serving, rag, guardrails.
In the past 30 days, Zendesk has posted 17 new AI-related roles. That is a -45% change versus the prior 30 days (31 → 17).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Applied Scientist This role focuses on designing and building LLM-powered applications, including agents, RAG systems, text-to-SQL, and recommendation engines, to drive business impact. The Applied Scientist will work across the full lifecycle from identifying opportunities to developing and evaluating models, and partnering with engineers for production deployment. The role requires strong Python and SQL skills, experience with experimental design, and familiarity with agent architectures and prompt engineering. | Agent |
| 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 |
| 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 |