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 |
|---|---|---|
| Staff Machine Learning Scientist This role focuses on researching and building efficient AI solutions, specifically for customer support, using recent ML techniques like neural networks and information retrieval. The role involves supporting the productionization of these techniques for scale and staying updated with ML/NLP literature. It aims to improve the quality and robustness of AI capabilities, such as intelligent triage and recommendations. | Post-trainAgent | 7 |
| ML Scientist Intern ML Scientist Intern role focused on researching, developing, and deploying NLP/ML models for customer experience automation, including intent detection, auto-assist, chatbots, and agent routing. Collaborates with engineers and product managers to translate research into scalable solutions, working with large datasets and exploring techniques like RAG and fine-tuning. Involves rigorous experimentation, productionization, and staying updated with ML/NLP literature. |
| Post-trainAgent |
| 7 |
| Senior ML Scientist - AI Copilot This role is for a Senior ML Scientist focused on researching and building AI capabilities for customer experience, specifically intelligent triage and recommendations. The role involves collaborating with applied ML scientists and engineers, applying ML techniques like neural networks and information retrieval, and supporting the productionization of these models. It requires an MSc degree, strong Python and deep learning library skills, and a pragmatic, results-oriented approach. Knowledge of NLP, generative models, and information retrieval is preferred. | Post-trainAgent | 7 |