Currently tracking 20 active AI roles, up 72% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $158k–$374k (avg $261k).
| 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 |
| Senior Machine Learning Scientist Senior Machine Learning Scientist to work on an AI Agent system (Gen3) for Zendesk's chatbot and voice assistance. The role involves owning product areas, bridging ML research and real-world impact, shaping roadmaps, and collaborating with cross-functional teams. Responsibilities include designing and testing AI solutions, owning research projects end-to-end, discussing ideas, keeping up with NLP/ML literature, working with ML engineers, using tools for rapid implementation, and collaborating with product managers. |
| 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 |
| Senior Software Engineer Senior Software Engineer role focused on delivering AI/ML powered features at scale for Zendesk customers. The role involves working closely with ML Scientists, building tools for model experimentation and management, and contributing to scalable infrastructure for AI platforms. Experience with production AI delivery, LLM technology, and scalable applications is required. | Serve | 7 |