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 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 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 Data Engineer Staff Data Engineer role at Zendesk focused on building and evolving the product analytics data architecture. The role involves defining data models, semantic layers, and core datasets, setting standards for data quality and pipeline design, and translating business problems into scalable data solutions. The role also emphasizes technical leadership, mentorship, and driving improvements in the data platform. While AI tools are mentioned for development acceleration and potential incorporation into workflows, the core function is data engineering for analytics. | — | 5 |
| Principal Data Engineer Principal Data Engineer at Zendesk to lead the ZAP team's transition into an AI-first operating model, focusing on designing and shipping fine-grained datasets for customer-facing analytics. This role requires principal-level architectural judgment, hands-on pipeline development, and mentoring engineers, with an emphasis on integrating AI capabilities into data engineering practices. | Data | 5 |
| Senior Platform Engineer – Zendesk Deploy Team Senior Platform Engineer focused on improving deployment tools and infrastructure, including Kubernetes, CI/CD, and IaC. The role involves leveraging AI tools to enhance operational efficiency and deployment safety within an enterprise environment. | — | 5 |
| Staff Software Engineer (Frontend) Staff Software Engineer focused on frontend modernization and integrating AI capabilities into Zendesk's customer reporting and analytics platform. The role involves technical leadership, system design, and driving engineering excellence with a focus on modernizing the stack with React/TypeScript and embedding AI/LLMs into user interfaces and workflows. | Ship | 5 |
| Senior Security Compliance Analyst Senior Security Analyst focused on technical reviews for HIPAA and FedRamp compliance within a SaaS environment. Responsibilities include reporting, data analysis, cross-functional collaboration with Legal, Engineering, Product, and GRC teams, and providing technical expertise in customer meetings and sales engagements. Requires strong app/UI testing skills, familiarity with SaaS stacks and cloud environments, understanding of compliance frameworks (GDPR, ISO, SOC 2, HIPAA, FedRAMP), and security fundamentals. | — | 0 |
| Staff Software Engineer (Ruby) Staff Software Engineer role at Zendesk, focusing on Ruby infrastructure. The role involves maintaining core Rails applications, keeping enterprise Ruby systems updated, contributing to open source, modernizing legacy systems, and mentoring junior engineers. Requires 6+ years of Ruby experience, distributed systems knowledge, cloud provider experience, and understanding of software design patterns. Preferred qualifications include C experience, AWS proficiency, and performance optimization for large-scale systems. The company uses AI-powered products in banking, retail, and postal services, and mentions AI may be used in application screening. | — | 0 |
| Software Engineer II Software Engineer II at Zendesk focused on building and enhancing core backend functionality for their ITSM product using Ruby on Rails. The role involves designing, developing, testing, and maintaining scalable backend services and APIs, owning features end-to-end, and collaborating with cross-functional teams. While the role is primarily backend engineering, there is an openness to using generative AI tools to improve productivity and support engineering workflows. | — | 0 |
| Software Engineer (Backend) Software Engineer (Backend) at Zendesk focusing on data protection and privacy components of their customer service platform. The role involves developing and maintaining large-scale systems, writing and testing code, and collaborating with team members. While the role mentions using AI as a tool to facilitate work and ship products faster, the core responsibilities are in backend software engineering for data privacy, not in building or directly deploying AI models. | — | 0 |
| Software Engineer II / Senior Software Engineer - General Consideration Software Engineer II / Senior Software Engineer at Zendesk, focusing on building scalable, high-performance products and services. The role involves collaborating globally, writing code, designing documents, testing, and deploying. While there are multiple roles in different areas including Machine Learning, the core responsibilities for this general consideration role are broad software engineering tasks. The ML organization aims to deliver intelligent products to enhance customer support agent productivity. | — | 0 |