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.
Enterprise · Customer support
Zendesk currently has 20 active AI-related roles in our index. The most common open titles are: AI Agent Abuse Prevention Engineer, AI Services Consultant II, AI Success Strategist, Customer Success, Applied Scientist, Data Scientist. Most positions are in Engineering and Product.
Zendesk's active AI hiring is concentrated in: agents (65%), application (20%), evaluation (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: United States (6 roles), Portugal (6 roles), Poland (4 roles), Mexico (2 roles).
Job postings at Zendesk most frequently reference: llm observability, agent orchestration, model serving, rag, guardrails.
In the past 30 days, Zendesk has posted 5 new AI-related roles. That is a -86% change versus the prior 30 days (37 → 5).
Currently tracking 18 active AI roles, down 82% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $158k–$374k (avg $261k).
| Title | Stage | AI score |
|---|---|---|
| Senior Product Manager, AI Agents Testing Product Manager for Zendesk's AI Agents Testing & Observability suite, focusing on simulation, quality scoring, experimentation, and regression detection to ensure enterprise trust and scalability of agentic AI in customer service. | Eval GateAgent | 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 |
| Staff Machine Learning Engineer Staff ML Engineer to shape the architecture and strategy of Zendesk’s GenAI platform, leading cross-functional efforts to standardize evaluation, access, observability, and orchestration for LLMs across product lines, ensuring AI experiences are safe, performant, and trustworthy. | Eval GateServe | 8 |
| AI Agent Abuse Prevention Engineer This role focuses on preventing abuse and ensuring security for AI agents within a SaaS customer support platform. Responsibilities include threat modeling, designing mitigation controls, building detection systems, and leading cross-functional security initiatives related to AI agents. | Agent | 7 |
| 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 |
| 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 |
| 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 |