Enterprise · Customer support
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 |
|---|---|---|
| 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 |
| 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. |
| 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 Software Engineer - Ruby Staff Software Engineer for Zendesk's AI Copilot organization, focusing on leading the architecture and delivery of AI-powered product features. The role involves bridging product engineering and ML/science, integrating LLMs into production systems, and scaling AI capabilities for customer service agents. Requires strong software engineering background with experience in distributed systems, cloud infrastructure, and integrating ML models into production. | AgentServe | 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 |
| Staff Software Engineer Staff Software Engineer to join the Maquina team, focusing on building AI-powered procedures and conversational AI agents for customer experience. The role involves developing Ruby on Rails and TypeScript services, leading resolution of complex reliability problems, mentoring colleagues, and driving AI adoption. Experience with LLM integrations and enterprise-level AI feature implementation is required. | Agent | 7 |
| Senior Product Manager Seeking a Senior Product Manager to lead a new Knowledge Graph team focused on ingesting and modeling content for AI experiences. The role involves creating a roadmap, forming a team, collaborating with engineering and data science, driving feature development, and overseeing data quality. Requires experience in SaaS product management, familiarity with LLMs/RAG/generative AI, and content processing at scale (NLP, OCR, document cleaning). | Agent | 5 |
| Senior Product Designer - Knowledge AI Senior Product Designer for Zendesk's Knowledge team, focusing on designing a best-in-class knowledge platform that powers conversational AI experiences. The role involves rethinking the Help Center for the age of AI, managing knowledge quality, and enabling AI-driven self-service workflows. | Agent | 5 |
| Senior Software Engineer Senior Software Engineer to join the Maquina team, which builds AI-powered procedures and conversational AI agents for customer experience. The role involves working across the full stack, from recommendation engines to agent-facing UI and execution runtime, integrating with a large RAG platform. The team tackles complex challenges involving multiple services, data pipelines, and ML integrations, valuing pragmatic engineering and shipping working software. | Agent | 5 |