Currently tracking 18 active AI roles, down 73% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $158k–$374k (avg $261k).
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.
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 |
|---|---|---|
| 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 |